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School of Engineering and Informatics (for staff and students)

Control Engineering (871H1)

Control Engineering

Module 871H1

Module details for 2022/23.

15 credits

FHEQ Level 7 (Masters)

Module Outline

This module focuses on the modelling, analysis and control of continuous and discrete time systems. The students will also learn how to linearise model of nonlinear systems around equilibrium points, how to design state estimators and also develop optimal controllers using LQR (Linear Quadratic Regulator) or LQG (Linear Quadratic Gaussian) techniques in this module.
They will gain practical experience in analysis and design of control systems using Matlab/Simulink and Labview. Having completed the module, students will study the higher level subjects such as Industrial Automations Mechatronics, Robot Design and Implementation and will be able to develop their own control systems in their MSc projects.
Topics include:
• Modelling and control of linear systems including transfer functions, block diagram, state space equations, PID algorithm
• Modelling of discrete time systems: z transform, transfer function/state space equations of discrete systems
• Discrete systems analysis: extension of Routh-Hurwitz criteria, Jury criterion, root locus, steady state errors, performance of discrete systems
• Control systems design in state space: pole placement, design of state estimators
• Design of discrete control systems: controllability and observability of discrete systems, discrete pole placement method, discrete state estimator
• Optimal control: LQR, LQG

Module learning outcomes

Demonstrate an understanding of discrete systems analysis and control.

Demonstrate an understanding of control systems design using state space method and modelling of nonlinear systems

Use Matlab/Simulink and Labview as tools to design a controller to meet certain requirements

Demonstrate a systematic understanding of commonly used controllers (for example PID) for robotics/mechatronics applications through their design, implementation and evaluation.

TypeTimingWeighting
Coursework50.00%
Coursework components. Weighted as shown below.
TestT1 Week 6 (1 hour)40.00%
ProjectT1 Week 11 60.00%
Computer Based ExamSemester 1 Assessment50.00%
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
Autumn SemesterLaboratory2 hours00101010000
Autumn SemesterWorkshop2 hours11010101010
Autumn SemesterLecture2 hours11212121000
Autumn SemesterProject2 hours00000001110

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Dr Nicolas Herzig

Assess convenor
/profiles/525193

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)

School Office:
School of Engineering and Informatics, ÄûÃÊÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

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