MODULE SPECIFICATION FORM
Control Engineering B
Semester(s) in which to
With effect from:
Title of module being
replaced (if any):
Dr Z Chen
Module duration (contact
hours/ directed/ private
hrs private study
(identify programme where
Percentage taught by Subjects other than originating Subject
(please name other Subjects):
Programme(s) in which to be offered:
B BEng (Hons) and BEng Ordinary:
Electrical and Electronic Engineering
Completion of level 2
or equivalent studies.
(within a level):
To extend mathematical modelling to predict and modify control system behaviour.
To extend established
analytical skills by applying computer
based methods to control system
design, implementation and modification.
Expected Learning Outcomes
Knowledge and Understanding:
At the completion of this module, the student should be able to:
predict the performance of a computer controlled system;
design and/or modify, using computer aided techniques, a control system to a specified
performance using the state space approach.
3. design and analyse linear optimal control system.
able/Key Skills and other attributes:
1. Apply mathematical analysis
2. Solve problems,
3. Apply design
Please indicate the type(s) of assessment (eg examination, oral, coursework, project) and the
weighting of each (%).
indicative assessment should also be included.
All outcomes are assessed by means of a two hour written examination.
number (use as
Type of assessment
Word count (if
Learning and Teaching Strategies:
The module will be delivered through lectures and student
driven investigative work. A significant
amount of the content is to be achieved through individual study. Approximately one t
hird of the
timetabled time will be devoted to formal lectures. The remainder of the time will be allocated to
tutorials and to individual study but also with some programmed access to lab/computer facilities, for
practical investigation and analysis activ
Discrete time systems:
Sampling and aliasing. Difference equations and Z transforms. The Z plane.
System classification and frequency response. Digital filters. Digital implementation of
State space equations. State equations from transfer functions.
Controllability and observability. Solution of state equation. Application of state feedback
Linear optimal control:
Criteria for optimal control; General optimal co
ntrol formulation; Linear
Tewari A.; (2003) Modern Control Design with MATLAB and SIMULINK; UK; John Wiley & Sons
Nise, N.S.; (2003)
Control Systems Engineering
Edn.); London; John Wiley & Sons
; London; Chapman and Hall
Control System Design & Simulation
; London; McGraw Hill
Free downloaded student edition of CODAS on web site: GoltenVerwer.com
Modern Control Systems
(7th Edition); England; Addison Wesley
Including simulation software
Digital Control System Design
Holt, Rinehart and