Virtual Computing Laboratories: A Case Study with Comparisons ...
Virtual Laboratories
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Transcript of Virtual Laboratories
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Virtual Laboratories
Department of Automatic Control & System Engineering
The University of Sheffield
Yashar Baradaranshokouhi
Virtual Laboratory Leader: Dr. Anthony Rossiter
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To Achieve a better learning experience better: Lectures Tutorials Computer Labs Equipment
◦ Difficulties: Time Slots Cost Space
Blended Learning Package
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A Solution to:
A Quick Introduction:
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)
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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
Design: Challenges & Solutions
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Considering the students feedback, two different approaches has been considered
Design: Challenges & Solutions
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
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First Order Modelling
Calculating the gain (K) Calculating the time constant (T) Building a first order transfer function Analysis of first order step response
Laboratory: DC Servo Motor
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Experiment 1: Gain Measurement
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Experiment 2: Time Constant Calculation
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Experiment 3: System Transfer Function
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Email, Save and Submission Page
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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
Features:
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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)
Laboratory 2: PID Controller
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Simple Design Online User Queuing System Time Limitation Real Time Live View of the system step
response Robust and easy recovery
Features:
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Laboratory 2: PID Controller
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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.
Student Feedback and Evaluation
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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.
Conclusions
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Dr. Anthony Rossiter Dr. Ian Lilley Mr. Ian Hammond Department of Automatic Control & System
Engineering
Thanks to