Automation and Robotics 1st Year Courses 2012-13

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  • 7/28/2019 Automation and Robotics 1st Year Courses 2012-13

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    Study and Evaluation Scheme

    Effective from session 2012-13

    M.Tech (Automation and Robotics)

    YEAR-I, SEMESTER-I

    CT : Class Test AT : Attendance TA : Teachers Assessment

    TOT : Total P : Practical TH : Theory

    L : Lecture T : Tutorial

    Elective -1: One of the following

    AR-913 Introduction to Mechanical Engineering

    AR-914 Introduction to Electrical Engineering

    AR-915 Introduction to Mechanical & Electrical Engineering

    Elective- II: One of the following

    AR-916 Mechatronics

    AR-917 Optimization Techniques

    AR-918 Artificial Intelligence

    Note: (i) Wherever the theory exam is of 130 marks, 15 short answer questions of 2 marks each shall be

    asked in the question paper.

    (ii) A student shall be offered any one of the elective subject depending upon the availability of the

    faculty member in the college/ Institute.

    (iii) An elective subject offered once in a semester shall not be repeated during the entire M.Tech

    Programme.

    (iv) Minimum number of students required to run an elective subject is 8.

    S

    NCourse

    CodeName of Subject

    Periods Evaluation Scheme SubjectTotal

    Credits

    Sessional External

    L T P CT AT+TA TOT P Th P

    1. AR-910Robotics: Analysis& Systems

    3 1 0 40 15+15 70 - 130 - 200 4

    2. AR-911Microprocessors andMicro Controllers

    3 0 2 30 10+10 50 20 100 30 200 4

    3. AR-912

    Advance Computer

    Concepts forAutomation

    3 0 2 30 10+10 50 20 100 30 200 4

    4. AR-91? Elective-I 3 1 0 40 15+15 70 - 130 - 200 4

    5. AR-91? Elective-II 3 1 0 40 15+15 70 - 130 - 200 4

    Total15 3 4 310 40 590 60 1000 20

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    Study and Evaluation Scheme

    Effective from session 2012-13

    M.Tech (Automation and Robotics)

    YEAR-I, SEMESTER-II

    S

    NCourse

    CodeName of Subject

    Periods Evaluation Scheme SubjectTotal

    CreditsSessional External

    L T P CT AT+TA TOT P Th P

    1. AR-920Pneumatics &Hydraulics control 3 0 2 30 10+10 50 20 100 30 200 4

    2. AR-921Industrial Automation

    3 0 2 30 10+10 50 20 100 30 200 4

    3. AR-922Computer Simulation

    and Modeling 3 0 2 30 10+10 50 20 100 30 200 4

    4. AR-92? Elective-III 3 1 - 40 15+15 70 - 130 - 200 4

    5. AS-920 ResearchMethodology

    2 - - 15 5 + 5 25 - 75 - 100 2

    6. AR-926 Seminar - - 3 50 50 1

    7. AR-927 Field Work/ Industrial

    Visit/ Minor Project

    - - - - 50 50 1

    Total14 1 9 345 60 505 90 1000 20

    CT : Class Test AT : Attendance TA : Teachers Assessment

    TOT

    L

    : Total

    : Lecture

    P

    T

    : Practical

    : Tutorial

    TH : Theory

    Elective -III: One of the following

    AR-923 Intelligent Instrumentation

    AR-924 Machine Vision

    AR-925 Electric Drives

    Note: (i) Wherever the theory exam is of 130 marks, 15 short answer questions of 2 marks each

    shall be asked in the question paper.

    (ii) A student shall be offered any one of the elective subject depending upon the

    availability ofthe faculty member in the college/ Institute.

    (iii) An elective subject offered once in a semester shall not be repeated during the entire M.Tech

    Programme.

    (iv) Minimum number of students required to run an elective subject is 8.

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    AR-910: ROBOTICS: ANALYSIS AND SYSTEMS 4 Credits (3 1 0 )

    Objective and learning outcome

    Physical configuration and mathematical description of different types of a real life robotic arm which

    describes a robot in industrial scenario.

    Mathematical approach to explain how the robotic arm motion can be described

    Syllabus

    Introduction. Construction of manipulators, advantages and disadvantages of various kinematic

    structures. Applications, Nonservo robots, motion planning. Feed back systems, encoders Kinematics,

    homogeneous coordinates solution of the inverse kinematic problem, multiple solutions, jacobian,

    work envelopes. Trajectory planning. Joint Interpolated Trajectory, Link joints and their Manipulator

    dynamics and force control. Sensors: Vision, ranging, laser, acoustic, tactile.

    Developments in sensor technology, sensory control. Programming Language: VAL, RAIL, AML.

    Mobile robots, walking devices. Robot reasoning.

    Text Books / References:

    1. K.S Fu, R.C. Gonzalez, C.S.G. Lee, Robotics, McGraw Hill, 1987.2. Y. Koren, Robotics for Engineers, McGraw Hill, 19853. J.J. Craig, Robotics, Addison-Wesley, 1986.4. Saeed B. Niku, Introduction to Robotics Analysis, Systems and Application : PHI 20065. Richard D, Klafter, Thomason A Chmiel Owski, Michel Nagin Robotics Engg-an Integrated

    Approach PHI 2005

    6. R.K. Mittal & I.J. Nagrath, Robotics & Control TMH-2007.

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    AR-911: MICROPROCESSORS AND MICRO CONTROLLERS 4 Credits (3 1 2)

    Objective and learning outcome

    To provide advance usable knowledge about microprocessors and micro-controllers and the related

    peripherals and their programming. The microprocessors covered would be intel8086 and related

    peripherals including numerical co-processor. The micro-controller portion will be 8051 & 8096

    families. This will enable the student to feel confident to handle microprocessors and micro-controllers

    employed for different applications in the industrial field.

    Syllabus

    Evolution of Microprocessors, General architecture of P, An overview of 8086/88/architecture

    minimum/maximum mode configuration. Assembly Language programming in 8086, interrupt

    structure Programmed I/O, parallel I/O (8255-PPI) serial I/O (8251/8250), RS-232, IEEE bus standard,

    8157 DMA controller A/D & D/A conversion, 8253/54 PIT/counters.

    8087 Numerical processor and its interfacing with 8086. Introduction to 8051 micro-controller family:Pin description of 8051 and its internal structure, connections of I/O ports and Memory organization

    Addressing mode. Instruction set & its format and simple programs. Atmel micro-controller 89C51

    and 89C2051.

    Introduction to 8096/8097 family and essential difference with 8051.

    Applications of microprocessors and micro-controller

    Text Books / References:

    1.

    D V Hall, Microprocessor and Its Applications, TMH.2. B.B. Bray, The Intel Microprocessors 8086/8088, 80186/80188, 80286, 80386, 80486, Pentiumand Pentium pro processor, architecture, programming and interfacing, PHI India.

    3. Mohammed Refiguzzaman, Microprocessor & Microcomputer Based System Design, UniversalBooks Stall, New Delhi.

    4. James L. Antonakos, The Pentium Microprocessor, Pearson Education5. Muhammad Mazidi and Janice Mazidi, The 8051 Microcontrollers and Embedded Systems.

    2000. Prentice Hall

    6. Walter Triebel and Avtar Singh, The 8088 and 8086 Microprocessors: Programming,Interfacing. Software, Hardware, and Applications, 3rd Ed., 2000, Prentice Hall.

    7. Ajay V. Deshmukh Micro-controllers Theory and Applications. Tata McGraw Hillcompanies 2005.8. Jan Axelson Micro-controller Idea Book. Penram Internation Publishing Company.

    9. B.P. Singh and Renu Singh Advanced Microprocessors & Micro-controllers. New Age (i)Publisher-2002.

    10.Kenneth J. Ayala The 8085 micro controller-Architecture, Programming & ApplicationsPenram Publishing 1997.

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    AR-911P: MICROPROCESSOR & MICRO-CONTROLLER LAB

    L T P

    0 0 2Note: Any Ten experiments may be performed.

    1. To study 8085 based microprocessor kit and all IC chips.

    2. To study 8086 based microprocessor kit and all IC chips

    3. To develop and run a program for finding out the largest/smallest number from given set ofnumbers

    4. To develop and run a program for arranging in ascending /descending order of a set ofnumbers.

    5. (A) To perform conversion of temperature F to C and vice-versa.

    6. (B) To perform computation of square root of given number.

    7. To perform microprocessor based stepper Motor operation through 8085/8086 kit.

    8. To write a program for generating square wave with 8253. The periodic time of the wave is 2msec & 10 msec.

    9. To write a program for generating square wave with 8255. To periodic time of the wave is 2msec & 10 msec.

    10. To write a program to convert analog input to 0809 ADC to the digital output.

    11. To flash 8 LED on the kit of 89C51/8051.

    12. To acquire analog value using the kit 89C51/8051

    13. To generate a ramp on the DAC using kit 89C51/8051.

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    AR-912: ADVANCE COMPUTER CONCEPTS FOR AUTOMATION 4 Credits (3 1 2 )

    Objective and Learning outcome

    This course provides an in-depth examination of advanced concepts in computer networks and data

    communications. General topics include computer graphics, Object Oriented Programming concepts,

    database management & design, Operating system & protocols and operating system structure. This

    will enable students to understand importance of computer systems in automation along with

    information on computer networks and Object Oriented Programming Concepts. Besides, an in-depth

    coverage of database management system and database design will develop their fundamental

    understanding of data handling.

    Syllabus

    Introduction to computer Automation, Elements of Automation and Types of Automation, Importance

    of Computers in Automation, Computer Networks and Topology Types. Computer Graphics, Display

    Adapters, Video Display Modes.Object Oriented Programming Introduction: Necessity of Object Oriented Programming,

    Procedural Language and Object Oriented Approach, Characteristics of Object Oriented Languages.

    OOPs Concepts: Objects, Classes, Inheritance, Overloading, Virtual Functions, and Polymorphism.

    OOPs features for Automation: Templates and Exceptions, C++ Input and output concepts, OOPS

    for Automation. Introduction to JAVA Features of JAVA, OOPS through JAVA.

    Database Management System Introduction: Comparison of File System, Database Management

    System, Characteristic Features of Database Management Systems.

    Database Design: Relational Database, Logical Database Design, Data Base Models, DBMS

    Languages and Interfaces. Data Base Security and Authorization. Data Ware House.

    Operating Systems and Protocols: Basic Concepts of batch Systems, Multi Programming, Time-Sharing, Distributed and Real Time Systems.

    Operating System Structures: Operating System Components and Services & brief discussion about

    protocols-FTP, TCP/IP & HTTP.

    Text Books / References:

    1. C++ Programming-Bjarne Stroustrup, Addison Wesley.2. Fundamentals of DBMS Ramez Elmasri and Navathe, Addison Wesley.3. Operating System Concepts Silberschatz, Galvin, Gagne, Sixth edition, John Wiley.4. Computer Graphics, C version Donald Hearn, M. Pauline Baker, Pearson Education.5. Object Oriented Programming with C++ - E. Balaguruswamy, TMH.6. Object Oriented Programming with C++ - Robert Lafore, PHI7. Operating Systems-A concept based approach, D M Dhamdhere, TMH8. Internet Working with TCP/IP Douglas, PHI9. Introduction to DBMS Date C.J. Addison Wesley

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    AR-912P: ADVANCE COMPUTER CONCEPTS FOR AUTOMATION LAB

    L T P

    0 0 2

    1. Write Program in C or C++ for following.

    Array implementation of Stack, Queue, Circular Queue, List. Implementation of Tree Structures, Binary Tree, Tree Traversal,

    Binary Search Tree

    Implementation of Searching and Sorting Algorithms.

    Graph Implementation, shortest path algorithm.2. Experiments based on Object Oriented System Concepts on C++/JAVA/UML etc.

    3. Designing of Graphical User Interface using JAVA for automated system

    4. Designing a web page in html interfaced with database

    5. Write SQL queries using logical operations (=,,etc)

    6. Write SQL queries using SQL operators

    7. Write SQL query using character, number, date and group functions

    8. Designing a web page interfaced with database for any automation application

    9. Design & Development of Graphical User Interface using LabVIEW software for automated

    system

    10. Write a program using LabVIEW Software to display and analyze transducer characteristics

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    ELECTIVE-I

    AR-913: INTRODUCTION TO MECHANICAL ENGINEERING 4 Credits (3 1 0 )

    Objective & Learning outcome

    Mechanical engineering basics as needed in design of components in various working machineincluding robots.

    The course is meant for students with B.Tech from disciplines other than mechanical engg.

    Syllabus

    Concepts of Stress, Strains and theories of failure. Concepts of Fatigue and Creep. Design principles:

    strength, rigidity and wear considerations. Design for strength, static and dynamic loadings.

    Manufacturing consideration, limits, fits and standardization. Design of shafts, keys, splines, springs.

    Design of riveted, bolted, welded and friction joints. Power screws. Design of sliding and rollingcontact bearings. Material selection and design process.

    Theory and principles of design of couplings, clutches, brakes, belt and chain drives, spur, helical,

    bevel and worm gear drives. Lubrication Systems.

    Failure quality loss and robust design. Service failure modes, characterization and interpretation.

    Deformation modes-yielding and creep. Ductile and Brittle fracture fatigue and fracture mechanics

    approach to design. Cumulative damage life prediction. Wear- modes and control. Systematic

    approach to failure analysis.

    Text Books / References:

    1. Shigley, J.E. and Mitchel, L.D., Mechanical Engineering Design, McGraw-Hill International;1993.

    2. Juvinal, R.C., Fundamentals of Machine Component Design, John Wiley and Sons, 1994.3. Spottes, M.F., Design of Machine elements, Prentice-Hall India, 1994.4. Deutschman, D., Michels, E., Machine Design Theory and Practice, Macmillan, 19925. Collens, J.A., Failure of Materials in Mechanical Design, John Wiley & Sons, 1991.6. Fuchs H.O., Metal fatigue in Engineering, John Wiley & Sons, 1991.7. Dieter G.E, Mechanical Metallurgy (Sl Edition), McGraw Hill Book Co., 1988

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    AR-914: INTRODUCTION TO ELECTRICAL ENGINEERING 4 Credits (3 1 0 )

    Objective & Learning outcome

    To provide a bridge course for mechanical related stream students who have very little back ground of

    the conventional and recent advances in electrical technology. The course will cover basic electronics,

    digital electronics, electrical machines and power electronics. This will enable to find more confident

    in handling electrical related equipments.

    Syllabus

    Basic Electronics: Diode, Transistor Biasing and Introduction to experimental mode of transistor (Low

    frequency and high frequency analysis). Operation-Amplifiers: application of operational amplifier

    characteristics and equivalent circuits.

    Oscillators: phase shift, LC, Wjen Bridge & crystal. Digital: number system, Boolean Algebra, Gates,

    K-map, Sequential circuits. Monostable & Bistable multivibrators, IC-555 Electric Machines: torque,

    efficiency, starting and speed control of dc motors, three phase induction motors and three phase

    synchronous motors. Power Electronics : characteristics of power semiconductor devices (SCR,

    power transistor, Triac, GTO, power MOSFET and IGBT); Single and three phase half controlled and

    fully controlled converters, choppers, AC Voltage regulators, Cycloconverters, Single phase and Three

    phase bridge inverters, application to variable speed drives.

    Text Books / References:

    1. Millman Halkias Integrate Electronics, TMH2. M. Morris Mano. Digital Desgin, MGH3. Gayakwad, Operational-Amplifier & Linear Integrated Circuits, PHI4. Muhammad H. Rasid, Power Electronics, PHI5. D.P. Kothari & I.J. Nagrath Electrical Machines Tata MC Graw Hill.6. M.G. Say Alternating Current Machines, Pitman and Sons.

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    AR-915:INTRODUCTION TO MECHANICAL & ELECTRICAL ENGINEERING

    4 Credits (3 1 0 )

    Objective & Learning Outcome

    To provide a bridge course to computer, Electronics and Communication related stream students whohave minimal back ground of Mechanical Engineering and Electrical Power Engineering. The course

    thus covers the area of machine design and Electrical machines and power electronics. This will

    enable the students to face more confidently the industrial environment.

    Syllabus

    Concepts of Stress, Strains and theories of failure. Concepts of Fatigue and Creep. Design principles:

    strength, rigidity and wear considerations. Design for strength, static and dynamic loadings.

    Manufacturing consideration, limits, fits and standardization. Design of shafts, keys, splines, springs.

    Design of riveted, bolted, welded and friction joints. Power screws. Design of sliding and rollingcontact bearings. Material selection and design process.

    Theory and principles of design of couplings, clutches, brakes, belt and chain drives, spur, helical,

    bevel and worm gear drives. Lubrication Systems.

    Electric Machines : torque, efficiency, starting and speed control of dc motors, three phase induction

    motors and three phase synchronous motors. Power Electronics : characteristics of power

    semiconductor devices (SCR, power transistor, Triac, GTO, power MOSFET and IGBT); Single and

    three phase half controlled and fully controlled converters, choppers, AC Voltage regulators,

    Cycloconverters, Single phase and Three phase bridge inverters, application to variable speed drives.

    Text Books / References:

    1. Shigley, J.E. and Mitchel, L.D., Mechanical Engineering Design, McGraw-Hill International;1993.

    2. Juvinal, R.C., Fundamentals of Machine Component Design, John Wiley and Sons, 1994.3. Spottes, M.F., Design of Machine elements, Prentice-Hall India, 1994.4. Deutschman, W.J. and Wilson. C.E., Machine Design Theory and Practice, Macmillan, 19925. Collens, J.A., Failure of Materials in Mechanical Design, John Wiley & Sons, 1991.6. Fuchs H.O., Metal fatigue in Engineering, John Wiley & Sons, 1991.7. Dieter G.E, Mechanical Metallurgy (Sl Edition), McGraw Hill Book Co., 19888. Muhammad H. Rasid, Power Electronics, PHI9. D.P. Kothari & I.J. Nagrath Electrical Machines Tata MC Graw Hill.10.M.G. Say Alternating Current Machines, Pitman and Sons.

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    ELECTIVE-II

    AR-916: MECHATRONICS 4 Credits (3 1 0)

    Objective & Learning Outcome

    With an overview of mechanical, electrical, optical and control technologies, it strives to optimallyintegrate different technologies with computer systems in order to create high quality products and

    processes.

    This should enable students to develop knowledge and skills to adopt interdisciplinary and integrated

    approach to engineering design while being able to design, construct and evaluate simple automated

    system requiring electronic, pneumatic and optical circuit integration.

    Syllabus

    Its elements such as mechanics, electronics, microelectronics, power electronics and information

    technologies.

    Mechanical elements with integrated electronics, suspension systems, vibration dampers, clutches,

    bearings mechanical / magnetic, gears etc. Micro-motors dc-micro motors, PCB motors, disc motors,

    reluctance motors, PM motors(Materials, design & contruction), Brushless motors, stepper motors,

    universal motors, aerial field motors, Induction motors and synchronous motors.

    Applications to Tele-communication technology equipment, computer printers actuators consumer

    products such as cameras, camcorder, timers, clock, VCR, wipers, fax machines, recorders.

    Text Books / References:

    1. Bolten, Mechatronics2. V. Athani, Stepper Motors Fundamentals, Applications and Design New Edge Intl.3. T.J.E. Miller, Switched Reluctance Motors and their control Oxford 19934. J.F. Gieras and M. Wing, Permanent Magnet Motor Technology (M.Dieker)19975. Y. Dote & S Kinoshika, Brushless Servo motor fundamentals and applications Calrendon Press

    Oxford

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    AR-917: OPTIMIZATION TECHNIQUES 4 Credits (3 1 0)

    Objective & Learning Outcome

    Choose and select various parameters involved in real-life field operations and industrial operations to

    achieve an objective Methodology of selection of process variables for minimization or maximizationof desired objectives in real life-be it from industry or field operations.

    Syllabus

    Statement of Optimization Problem, Linear Programming: Simplex Method, Revised Simplex Method,

    Sensitivity Analysis, Parametric Programming, and Transportation Problem.

    Nonlinear Programming: Approach, Convergence and Scaling of Design variables; Unconstrained

    Optimization Direct Search Methods: Random Search, Univariate, Simplex Method; Indirect Search

    Methods: Steepest Descent, Conjugate Gradient, Newton, Quasi Newton, DFP Methods; Nonlinear

    Programming Constrained Optimization Direct Methods: Lagrange Multipliers, Kuhn-Tuckerconditions, Beals method, Indirect Method: Penalty Function and Applications Introduction to

    Dynamic Programming; Concept of Sub optimization and the principle of optimality; Linear and

    Continuous Dynamic Programming with Applications; Introduction to Integer Programming; Cutting

    Plane Method; Branch and Bound method; Introduction to Genetic Algorithms, particle swarm

    optimization Sequencing and Scheduling, Project Scheduling by PERT-CPM; Probability and cost

    consideration in Project scheduling; Queuing Theory, Single and multi server models; Queues with

    combined arrivals and departures; Queues with priorities for service.

    Text Books / References:

    1. Rao S.S. Engineering Optimization Theory and Practice, New Age Int. Pub., 3rd Ed., 1996.2. Haug,E.J.and Arora, J.S., Applied optimal design Wiley Inter Science Publication, NY, 1979.3. Douglas J. Willde, Globally optimal design Jhon Wiley & Sons, New York, 19784. Johnson Ray C., Optimum design of mechanical elements, John Wiley & Sons, 1981.5. S.D. Sharma, Operations Research, Khanna Publications, 2001.6. David Goldberg, Genetic Algorithms, pearson publications, 2006.7. Prem Kumar Gupta, Operations Research, S Chand publications, 20088. Maurice cleric, Particle Swarm optimization, ISTE Publications, 2006.

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    AR-918: ARTIFICIAL INTELLIGENCE 4 Credits (3 1 0)

    Objective and Learning outcome

    To familiarize the new area of Artificial Intelligence which has found wide spread interest and

    application in Industrial problems. Their will cover Expert system, Neural network, Fuzzy logic and

    Genetic Algorithms. This will enable the student to think of solving the control problem of industry by

    alternative methods.

    Syllabus

    Expert system. Architecture, knowledge base, inference engine, expert system shell, applications.

    Fuzzy Logic: Fuzzy sets, membership functions, operation on fuzzy sets; fuzzy control system,

    Fuzzyfication, knowledge base, inference, defuzzification, application.

    Neural Network : Neuron structure, classification, artificial neural network, back propagation training

    and algorithm, neuro-fuzzy controllers, applications.

    Genetic algorithms: Concepts, encoding and selection methods, genetic operators (crossover and

    Mutation), applications.

    Text Books / References:

    1. Haykin Neural Networks A comprehensive Foundation (Mc-millan)2. J.M. Zureda Introduction to artificial neural networks (Jaico)3. A Cichocki & R Unbehauen Neural Networks for optimization and signal Processing John

    Wiley

    4. George J. Klin & Tina A Polgar Fuzzy sets, uncertainty and Information5. Baert Kosko Neural network and fuzzy systems6. Peterson Introduction to Artificial Intelligence and expert system (PHI)7. Michell Introduction to Genetic Algorithm (PHI)8. Vidyasagar M Theory of learning and generalization Springer9. S. Rajasekaran, G.A. Vijaylakshmi Pai Neural Networks, Fuzzy Logic and Genetic Algotithm,

    PHI.10.T.J. Ross: Fuzzy Logic with Engineering Applications Second Edition John Wiley India.

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    SEMESTER-II

    AR-920 Pneumatic and Hydraulic Control: 4 Credits (3 0 2)

    Objective and Learning outcome

    The objective of this subject is to provide students with solid understanding of fundamental principlesand general concepts associated with Hydraulic and Pneumatic equipments found in industry.

    This should enable students to demonstrate an understanding of basic hydraulic and pneumatic

    principles, identify basic operation and troubleshoot Hydraulic and pneumatic circuits. They should

    henceforth be able to integrate actuators based on these principles with electronic circuits as per their

    understanding of basic courses on electronics.

    Syllabus

    Introduction to control system, Types of control system and their utility. Hydraulic power generation

    and transmission, valve control pressure flow relationship for hydraulic valves, valve configurations

    and constructions, steady state operating forces, transient forces and valve instability. Circuit design,

    Pneumatic valves, Hydraulic and pneumatic drives.

    Introduction to fluidic devices and sensors lumped and distributed parameter fluid systems. Fluid

    mechanics of jets, wall attachment and vortex devices. Pure fluidic analog amplifiers. Analog signal

    control techniques. Design of pure fluid digital elements.

    Physical concepts of pneumatics and electricals. Electropneumatic components operation and

    application interpretation of electric ladder diagram.

    P.PI & PID controllers & applications.

    Text Books / References:

    1. J.F. Blackburn, G. Rechthof, J.L. Shearer. Fluid Power Control MIT, 19602. B.W. Anderson, The Analysis and Design of Pneumatic Systems, Wiley, 1967.3. K. Foster, G.P. Parker, Fluidic Components and Circuits, Wiley, 1970.4.

    A.B. Goodwin, Fluid Power Systems, Macmillan, 1976.

    5. Oil Hydraulic Systems by S.R. Majumdar, Tata Megraw Hill Pub. Co. Ltd. 20016. Pneumatic Systems by S.R. Majumdar, Tata Megraw Hill Pub. Co. Ltd. 19957. Hydraulic and Pneumatic Control by Srinivasan, Vijay Nikole, Imprints Pvt. Ltd. 20048. Hydraulic Control of Machine Tools by Khaimovich, Pergamon Press Ltd.196

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    AR-921 Industrial Automation 4 Credits (3 0 2)

    Objective and Learning outcome

    The objective of this subject is to acquaint students with general requirements of industrial automation

    system design including automated assembly, material handling with useful knowledge of

    identification technologies like RFID.

    The students should get a vivid understanding of what all is required for industrial automation while

    being able to understand control technologies, various inspection methods, analyze assembly &

    material handling systems and develop programming skills for programmable logic controllers to

    integrate various required automation components together.

    Syllabus

    Introduction: Automation in Production System, Principles and Strategies of Automation, Basic

    Elements of an Automated System, Advanced Automation Functions, Levels of Automations.Production Economics: Methods of Evaluating Investment Alternatives, Costs in Manufacturing,

    Break-Even Analysis, Unit cost of production, Cost of Manufacturing Lead time and Work-in-process.

    Detroit-Type Automation: Automated Flow lines, Methods of Workpart Transport, Transfer

    Mechanism, Buffer Storage, Control Functions, Automation for Machining Operations, Design and

    Fabrication Considerations. Analysis of Automated Flow Lines: General Terminology and Analysis,

    Analysis of Transfer Lines Without Storage, Partial Automation, Automated Flow Lines with Storage

    Buffers, Computer Simulation of Automated Flow Lines.

    Material handling and Identification Technologies: The material handling function, Types of

    Material Handling Equipment, Analysis for Material Handling Systems, Design of the System,

    Conveyor Systems, Automated Guided Vehicle Systems. Automated Storage Systems: Storage

    System Performance, Automated Storage/Retrieval Systems, Work-in-process Storage, Interfacing

    Handling and Storage with Manufacturing. Product identification system: Barcode, RFID etc.

    Automated Assembly Systems: Design for Automated Assembly, Types of Automated Assembly

    Systems, Part Feeding Devices, Analysis of Multistation Assembly Machines, Analysis of a Single

    Station Assembly Machine.

    Control Technologies in Automation: Industrial Control Systems, Process Industries Verses

    Discrete-Manufacturing Industries, Continuous Verses Discrete Control, Computer Process Control

    and its Forms. Computer Based Industrial Control: Introduction & Automatic Process Control,

    Building Blocks of Automation System: LAN, Analog & Digital I/O Modules, SCADA System &

    RTU.

    Automated Inspection and Testing: Inspection and testing, Statistical Quality Control, Automated

    Inspection Principles and Methods, Sensor Technologies for Automated Inspection, Coordinate

    Measuring Machines, Other Contact Inspection Methods, Machine Vision, Other optical Inspection

    Methods.

    PLC: Introduction, Micro PLC, Programming a PLC, Logic Functions, Input & Output Modules,

    PLC Processors, PLC Instructions, Documenting a PLC System, Timer & Counter Instructions,Comparison & Data Handling Instructions, Sequencing Instructions, Mask Data Representation,

    Typical PLC Programming Exercises for Industrial Applications.

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    Text Books / References:

    1. Automation, Production Systems and Computer Integrated Manufacturing- M.P.Grover, PearsonEducation.

    2. Computer Based Industrial Control Krishna Kant, EEE-PHI3. Principles and Applications of PLC Webb John, Mcmillan 19924. An Introduction to Automated Process Planning Systems Tiess Chiu Chang & Richard A.

    Wysk

    5. Anatomy of Automation Amber G.H & P.S. Amber, PrenticeHall.6. Performance Modeling of Automated Manufacturing Systems Viswanandham, PHI

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    AR-922 Computer Simulation and Modeling 4 Credits (3 0 2 )

    Objective and learning outcome

    To review the basic concepts of continuous computer based discrete control system. Together with this

    advanced topics of system modeling and identification and adaptive control system will be covered.

    This will enable the student to handle various control problems related to robotics and industry.

    Syllabus

    Review of continuous control system fundamentals, state space models & its solution, stability

    analysis, controllability & observability concepts.

    Introduction to computer controlled system & their representation/TF. Frequency response of sampled

    system. Z-transform, state equation model & its solution, stability, Shanons sampling theorem.

    System Modeling & Identification: The black box approach to the problem of modeling, introduction

    to type of systems & their classification.

    Least square regression model for static system, Geometrical and statistical representation of least

    method. Recursive computation of regression method.

    Regression method application to time varying parameter system method of restart & forgetting

    factors. Simplified recursive algorithms.

    Estimating the model parameters in dynamic system, FIR models.

    Estimating model parameters using pulse transfer function models (auto-regressive models).

    Estimating model parameters in continuous & closed loop system.

    Experimental conditions of identification persistent Excitation & consistency.

    System identification using time response and frequency response methods. Methods of model

    approximation & reduction.

    Adaptive control: (In place of Geometrical Modeling) Introduction, Model reference adaptive control,

    control structure, adaptive control schemes input error direct adaptive control, out0put error direct

    adaptive control, model reference scheme. Stability in model adaptive control.

    Text Books / References:

    1. Adaptive control 2nd Ed. Karl J. Astrom and Bijorn Wittenmark, Pearson Education 1995.2. Large Scale Systems: Modeling, Control & Fuzzy Logic, Mohammad Jamshidi, Prentice Hall

    1997.

    3. System Modeling & Identification, Rolf Johansson, Prentice Hall 1992.4. Computer Controlled System Theory and Design Karl J. Astrom and Bjorn Written mark

    P.H. 1984.

    5. Modern Control System Theory Second Editin, M. Gopal, New Age.

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    Elective-III

    AR-923 Intelligent Instrumentation 4 credits (3 1 0)

    Objective and Learning Outcome

    To impart advanced knowledge about modern instrumentation system. This includes different types oftransducers, telemetry system, industrial computer based interfacing buses and the area of Virtual

    Instrumentation systems. This will enable to handle modern industrial instrumentation system which is

    now increasingly based upon micro processor/ computers.

    Syllabus

    Transducers; analog and digital transducers, including semi-conductor and optical. Application to

    measurement of temperature, pressure, flow, displacement and other non-electrical quantities.

    Introduction to data acquisition system, A/D and D/A converters, sample and hold circuit, MUX and

    DEMUX, Signal transmission; Introduction to AM, FM, FSK, PSK and PCM, modulation and

    demodulation. Frequency and time division multiplexing Telemetry, GBIP,IEEE, profibus, device-

    net, Control Ner, MODBUS

    Virtual Instrumentation: Introduction,Graphical System Design Model, Design Flow with GSD,

    Virtual Instrumentation, Virtual Instrument and Traditional Instrument, Hardware and software in

    Virtual Instrumentation, Virtual Instrumentation for Test, Control and Design, Virtual Instrumentation

    in the Engineering Process, Virtual Instruments beyond personal Computer, Graphical System design

    using LabVIEW, Graphical Programming and Textual Programming, modular Programming, Data

    Structure , Cluster.

    Text Books / References:

    1. Barney Intelligent Instrumentation (PHI)2. Jovita Jerome Virtual Instrumentation (PHI)3. Helfrick & Cooper Modern Electronic Instrumentation and Control (PHI)4. Border & Mayewize Telemetry System5. Schewher Data Communication (Mc-GrawHill)6. Patranabis Telemetry Principles (TMS)

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    AR-924 Machine Vision 4 credits (3 1 0)

    Objective and Learning Outcome

    To familiarize with the basic principles & algorithm of machine vision which have new become

    important in industry to identify the defective objects and properly registering the controls. The

    outcome will be to prepare the students for assembly live application & sorting defective products.

    Syllabus

    Image capture and digitization; Image transforms; digital Fourier transform, fast Fourier transform,

    other transforms, convolution, correlation; image enhancement; spatial methods, frequency domain

    methods; image restoration;

    Geometric transformation; image compression; error free and lossy compression; edge detection;

    hough transform, region based segmentation; image feature/region representation and descriptors;

    morphological operators;

    Features based matching, Bayes classification; Low level vision: Introduction to stereopsis, shape

    from shading, optical flow; Rule based picture segmentation. Tutorial exercises will emphasize

    development and evaluation of image algorithms.

    Text Books / References:

    1. Milan Sanka, Vaclav Halavac, Roger Boyle Image Processing, analysis and machine visionVikas Publishing.

    2. Kenneth & Castleman Digital Image Processing (PHI)3. Conzalez RC & P Wint Digital Image Processing Addison Wesely4. Chanda & Mazumdar Digital Image Processing & Analysis (PHI)5. Anil K. Jain, Digital Image Processing, Prentice Hall, 1989

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    AR-925 Electric Drives 4 Credits (3 1 0)

    Objective and Learning Outcome

    To impart advanced knowledge about the modern electrical drives which have undergone great

    changes because of the development of power Electronics technologies. It will cover both DC and AC

    drives and the drive system for some important industries. This will help the student better prepared to

    handle such job.

    Syllabus

    Basic Concepts Characteristics and operating modes of drive motors. Starting, braking and speed

    control of motors. 4 quadrant drives. Types of loads. Torque and associated controls used in process

    industries.

    Duty cycle. Heating / cooling and insulation in motors. Choice of motors and rating. Electromagnetic

    Control of Motors.

    Applications of solid state controllers such as choppers, rectifiers, inverters and cycloconverters in

    drive systems, and their performance characteristics. Modern trends in industrial drives and control.

    Case studies relating to steel mills, paper mills, textile mills, machine tools etc. A.C. Motor drives in

    transportation system and traction..

    Text Books / References:

    1. M.A. EI-Sharkawi; Fundamentals of Electric Drives (Brooks / Col.)2. N. Mohan, T.N. Udeland & W.T. Robbins Power Electronics, Converter, Applications &design. Second edition (John. Wiley)3. G.K. Dubey Power Semi Conductor controlled Drives (PH)4. N.K. De & P.K. Sen Electric Drives Prentice Hall 1999.5. B.K. Bose Power Electronics and variable frequency Drives. Standard Publisher.6. pringer-Verlag, 1990.

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    AS-920: RESEARCH METHODOLOGY L T P2-0-0

    Objectives:

    To enable the students to understand:

    Some basic concepts of research and its methodologies. To select and define appropriate research problem and parameters. The issues involved in planning, designing, executing, evaluating and reporting

    research.

    The technical aspects of how to do empirical research using some of the main datacollection and analysis of techniques used by researchers.

    The meaning and techniques of sampling.UNIT - IIntroduction: Research objective and motivation. Types of research. Research approaches.Significance. Research method vs. methodology. Research process.

    UNIT - II

    Formulating a research problem: Literature review. Formulation of objectives. Establishing

    operational definitions. Identifying variables. Constructing hypotheses.

    UNIT - III

    Research design and data collection: Need and characteristics. Types of research design. Principles of

    experimental research design. Method of data collection. Ethical issues in collecting data.

    UNIT - IV

    Sampling and analysis of data: Need of sampling. Sampling distributions. Central limit theorem.

    Estimation: mean and variance. Selection of sample size. Statistics in research. Measures of centraltendency. Dispersion. Asymmetry and relationships. Correlation and regression analysis. Displaying

    data.

    UNIT - V

    Hypothesis testing: Procedure. Hypothesis testing for difference in mean. Variance limitations. Chi-

    square test. Analysis of variance (ANOVA). Basic principles and techniques.

    Writing a research proposal.

    Text Books:

    1. R. C. Kothari, Research Methodology: Methods and Techniques, 2nd edition, New AgeInternational Publisher, 2009

    2. Ranjit Kumar, Research Methodology: A Step-by-Step Guide for Beginners, 2nd Edition,SAGE, 2005

    References:

    1. Trochim, William M. The Research Methods Knowledge Base, 2nd Edition. Internet WWWpage, at URL: (version current as of October 20,2006).

    2. (Electronic Version): StatSoft, Inc. (2012). Electronic Statistics Textbook. Tulsa, OK: StatSoft.WEB: http://www.statsoft.com/textbook/.

    (Printed Version): Hill, T. & Lewicki, P. (2007). STATISTICS: Methods and Applications.

    StatSoft, Tulsa, OK.

    http://www.socialresearchmethods.net/kb/%3Ehttp://www.statsoft.com/textbook/http://www.statsoft.com/textbook/http://www.socialresearchmethods.net/kb/%3E
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    AR-926: SEMINAR Automation in Industry: Case Study 1 Credits (0 0 3)

    Program Objective: The field of Automation is multidisciplinary in nature and caters to wide

    spectrum of industries. The technology in use for different situations may also differ as per the

    objectives to be achieved in respective cases. This program aims to expose students to study practical

    standing of technologies in different industrial situations, analyze and compare them vis--vis other

    competing technologies and hence present the case study as seminar. This should set a strong

    background of the students with practical approach to tackle different situations.