department of automatic control & system engineering the university of sheffield yashar...
Post on 19-Dec-2015
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TRANSCRIPT
- Slide 1
- 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