Department of Automatic Control & System Engineering The University of Sheffield Yashar...
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Department of Automatic Control & System Engineering The University of Sheffield Yashar Baradaranshokouhi Virtual Laboratory Leader: Dr. Anthony Rossiter
Department of Automatic Control & System Engineering The
University of Sheffield Yashar Baradaranshokouhi Virtual Laboratory
Leader: Dr. Anthony Rossiter
Slide 2
To Achieve a better learning experience better: Lectures
Tutorials Computer Labs Equipment Difficulties: Time Slots Cost
Space
Slide 3
A Solution to: Limited resources and equipment 24/7 accessible
for students Limited time of academic staff and technicians
Authentic learning and student motivation. Students have time to
reflect and redo activities. Two Main Types: SVL (Soft Virtual
Laboratories) HVL (Hard Virtual Laboratories)
Slide 4
Not all of the experiments can be transformed into the virtual
environment Database Integration IGUI: Interactive Graphical User
Interface design Unexpected errors and crashes while running the
experiment remotely Maintenance Automatic Recovery system Fixed
station for the equipment
Slide 5
Considering the students feedback, two different approaches has
been considered 1) Complex Design (DC Servo Motor) Includes: Tab
based (4 tabs) Interactive user interface Interconnected
experiments Database connectivity Log-in feature 2) Simple Design
(PID Controller) Only one tab Straight forward load & run
Slide 6
First Order Modelling Calculating the gain (K) Calculating the
time constant (T) Building a first order transfer function Analysis
of first order step response
Slide 7
Experiment 1: Gain Measurement
Slide 8
Experiment 2: Time Constant Calculation
Slide 9
Experiment 3: System Transfer Function
Slide 10
Email, Save and Submission Page
Slide 11
Database Integration IGUI: Interactive Graphical User Interface
Security Check Online User Queuing System Live View of the
Laboratory Time limitations Robust and automatic recovery
system
Slide 12
Hands on Experience with a PID Controller PI: Proportional
Integral controller PD: Proportional Derivative controller PID
controller System response analysis at set point (Step
Response)
Slide 13
Simple Design Online User Queuing System Time Limitation Real
Time Live View of the system step response Robust and easy
recovery
Slide 14
Laboratory 2: PID Controller
Slide 15
Reliability is fundamental. Students expect the system to work
if engagement is encouraged or compulsory. Lighting: Does the
webcam work at night? Automatic restart: For what scenarios can the
system crash and how quickly is this noticed and rectified?
Simplicity of instructions and interface. Queuing: The queue length
should be visible or have a formal booking system.
Slide 16
Students projects have been designed and supervised to build up
laboratories for students Students feedback has been effectively
considered. Laboratories has been available for students 24/7
Virtual Laboratories can play an important role in learning and
teaching.
Slide 17
Dr. Anthony Rossiter Dr. Ian Lilley Mr. Ian Hammond Department
of Automatic Control & System Engineering