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School of Engineering and Informatics (for staff and students)

Advanced EMS Control (866H1)

Advanced Topics in Control of Electromechanical Systems

Module 866H1

Module details for 2022/23.

15 credits

FHEQ Level 7 (Masters)

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 Outline

This module follows on the other two control modules: Systems Analysis and Control (H6104) and Control Engineering (H6105), introducing 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

AHEP4 Learning Outcomes
M1, M2, M3, M13

Pre-Requisite

H6104 Systems Analysis and Control

Computing

Matlab/Simulink or equivalent

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.Demonstrate an ability to evaluate advanced control techniques and ability to judge the appropriateness for use in a given application

TypeTimingWeighting
Computer Based ExamSemester 2 Assessment70.00%
Coursework30.00%
Coursework components. Weighted as shown below.
ReportT2 Week 11 100.00%
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.

TermMethodDurationWeek pattern
Spring SemesterWorkshop2 hours00101010101
Spring SemesterLecture2 hours11111111111

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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The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

School Office:
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