Module Title:   Control Systems Design

Module Credit:   20

Module Code:   CM-0430D

Academic Year:   2015/6

Teaching Period:   Semester 1

Module Occurrence:   A

Module Level:   FHEQ Level 7

Module Type:   Standard module

Provider:   Computer Science

Related Department/Subject Area:   SCIM (Dept of Computer Science)

Principal Co-ordinator:   Dr J.C. Readle

Additional Tutor(s):   -

Prerequisite(s):   None

Corequisite(s):   None

Aims:
1. To develop a clear grasp of the mathematical modelling principles appropriate to the control of electro-mechanical systems.
2. To learn a range of classical and modern design techniques for linear controllers.
3. To design PLC based controllers for a range of sequencing and batch problems.

Learning Teaching & Assessment Strategy:
Lectures and seminars will be used to introduce the basic knowledge and concepts. Tutorials will be used to work through a large number of problem sheets. Computer labs will be used to introduce the control design and PLC software used. Supplementary assessment - repair deficiencies.

Lectures:   24.00          Directed Study:   150.00           
Seminars/Tutorials:   20.00          Other:   0.00           
Laboratory/Practical:   4.00          Formal Exams:   2.00          Total:   200.00

On successful completion of this module you will be able to...

1. Demonstrate the ability to derive a linear continuous-time model of a range of electro-magnetic systems.

On successful completion of this module you will be able to...

2. Demonstrate the ability to design linear controllers using a variety of time and frequency domain techniques both by hand and using appropriate design software.

On successful completion of this module you will be able to...

3. Demonstrate the ability to analyse, design and implement a PLC based control systems.

  Examination - closed book 2.00 70%
 
  Examination - Closed book 2 hours
  Coursework   30%
 
  Software based practical control system design

Outline Syllabus:
Block representation, linearisation, controller and feedback structures. System response to deterministic inputs. Steady state errors, system classification. Step and ramp input signals. Absolute stability methods. Laplace Transformation, simple, and finite time delays. Nyquist diagrams and Nyquist`s Stability Theory for systems which are open loop stable. Bode diagrams. Phase and gain margins. Resume of relative stability using frequency response methods. Pole-Zero diagrams and Root Locus Plots. Time domain response from these plots. State space methods. Simulation, Case Studies.

Version No:  1