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School of Engineering and Informatics (for staff and students)

Advanced EMS Control (866H1)

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Advanced Topics in Control of Electromechanical Systems

Module 866H1

Module details for 2024/25.

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.

TypeTimingWeighting
Coursework30.00%
Coursework components. Weighted as shown below.
ReportT2 Week 11 100.00%
Unseen ExaminationSemester 2 Assessment70.00%
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 hours00010101010
Spring SemesterLecture2 hours11111111111
Spring SemesterLaboratory2 hours00100010000

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

Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.

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)

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