Advanced EMS Control (866H1)
Advanced Topics in Control of Electromechanical Systems
Module 866H1
Module details for 2022/23.
15 credits
FHEQ Level 7 (Masters)
Pre-Requisite
H6104 Systems Analysis and Control
Module Outline
This module introduces advanced topics in control of nonlinear electromechanical systems. The students will learn stability theory to analyse performance of nonlinear systems and advanced control systems design methods, and apply these theory and methods to electromechanical systems.
Topics include:
• Introduction to nonlinear systems
• Lyapunov theory and advanced stability theory
• Feedback linearization
• Sliding mode control
• Adaptive control
• Neural network control
• Extension to multi-input systems
The module addresses the AHEP4 Learning Outcomes: M1, M2, M3, M4, M6, M17
Computing
Matlab/Simulink or equivalent
Library
Multivariable feedback control- Analysis and Design, S.Skogestad and I.Postlethwaite, 2nd Edition, Wiley, 2005.
Feedback Control of Dynamic Systems (6th Edition) [Hardcover]
Gene F. Franklin, J. David Powell, Abbas Emami-Naeini., Pearson, 2009
Modeling, Analysis, and Control of Dynamics Systems, William J. Palm III, 2nd Edition, John Wiley and Sons.
An Introduction to Nonlinearity in Control Systems, Derek P. Atherton, Bookboon.com publications, 2011
Electric Motor Drives: Modeling, Analysis, and Control, R. Krishnan, PRentice Hall, 2001
Module learning outcomes
Demonstrate an understanding of nonlinear systems analysis and advanced stability theory.
Demonstrate an understanding of advanced control techniques, including feedback linearization, sliding mode control, adaptive control and neural network control.
Apply theoretical principles and methods for the analysis of nonlinear systems.
Use advanced control techniques to design controllers for electromechanical systems.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 30.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | T2 Week 11 | 100.00% |
| Unseen Examination | Semester 2 Assessment | 70.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Workshop | 2 hours | 00010101010 |
| Spring Semester | Lecture | 2 hours | 11111111111 |
| Spring Semester | Laboratory | 2 hours | 00100010000 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Yanan Li
Assess convenor
/profiles/421198
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