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ME375 Intro - 1
ME 375System Modeling and Analysis
Prof. Cagri SavranSchool of Mechanical EngineeringPurdue UniversityME 1087, 494-8601, [email protected]
System Dynamics & Control
It’s everywhere… How do you balance a vertical stick?
School of Mechanical EngineeringPurdue University
ME375 Intro - 2
Basic “block diagram” model
School of Mechanical EngineeringPurdue University
ME375 Intro - 3
SystemController(Stick)(Brain)
Actuator(Hand)
Sensor(Eye)Σ
Feedback(Nerves)
+
-
Desired response(Brain)
Comparison of desiredand actual response
(Brain)
School of Mechanical EngineeringPurdue University
ME375 Intro - 4
Course Objectives
1) Introduce systematic and unified modeling of lumped dynamic systems using first principles.
2) Provide mathematical tools for analysis and performance prediction of engineered systems.
3) Provide introduction to design of feedback controllers to achieve closed-loop stability and specified system performance.
School of Mechanical EngineeringPurdue University
ME375 Intro - 5
Course Overview
• Integrating Modeling, Analysis and Control of Machines and Physical Systems
• Multi-Energy Domain System Modeling• Standard Format and Procedure • System Analysis (in time and frequency domains)• Feedback Control
School of Mechanical EngineeringPurdue University
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Course Overview
• Text – System Dynamics, by Palmavailable via CourseSmart on-line: http://www.coursesmart.com/
• References - see syllabus• Homework - must be individual effort• Matlab - necessary to complete homework• Exams - two midterm exams and one final• Grading - see syllabus• Course Web site:
http://www.itap.purdue.edu/tlt/blackboard/index.cfmlogin using Career Account username and password, then select ME 375
School of Mechanical EngineeringPurdue University
ME375 Intro - 7
What is a Model?
• A set of assumptions?• A diagram?• A set of equations?• A set of plots?• A simulation?
School of Mechanical EngineeringPurdue University
ME375 Intro - 8
Why do we need a Model?
• To ensure reliable performance• To prevent failures• To apply feedback control
School of Mechanical EngineeringPurdue University
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Example
• Blood Sampler (Lancet)
School of Mechanical EngineeringPurdue University
ME375 Intro - 10
System Characteristics
• Simple vs. Complex• Lumped vs. Distributed• Linear vs. Nonlinear• Time-invariant vs. Time-varying• Continuous vs. Discrete
School of Mechanical EngineeringPurdue University
ME375 Intro - 11
Dynamic Systems
• Models are the same regardless of the physical domain:
• We only have to understand one model, but we have four different systems!
= = =
euy Charge
fuy displ. Transl.
uy displ.Angular
dtdqu
y
Pressure
y y y u(t)
School of Mechanical EngineeringPurdue University
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Course OutlineIntroduction
Components/elements
Connections/interconnects
Mechanical
Electromech.
Electrical
HydraulicThermal
Input/output vs.state-variable
models
Time-frequencytools of
system analysis
Feedbacksystem design