This module aims to apply the methods of mathematical modelling to physical systems, increasing the level of complexity and examining how physical effects can be taken account of. Control of various systems will be simulated, enacted and analysed. The students will use analysis tools such as Root Locus and Bode Plots with software based GUIs and their plots to examine the response of systems and how system parameters and control settings can affect performance.
Review of Feedback Control Systems:
Block diagram models, systemstructure, system modelling, transfer functions of linear systems. Use ofLaplace Transforms for first order systems, second order systems, third andhigher order systems.
Performance of Feedback Control Systems:
Transient responsespecifications for systems of various orders, under step, ramp and impulseinputs. Step response of practical systems. Steady state behaviour, stabilitycriteria. Frequency response of systems.
Analysis of Linear Feedback Systems:
Time Domain - Routh-Hurwitzcriterion, Stability analysis, Root Locus,Frequency Domain Bodeanalysis, Nyquist plot.System Identification.
Advanced Techniques for Control:
System Identification, Adaptive Control, self tuning.
Design of Closed Loop Systems:
System selection, simulation, controllersettings, testing. Applications of analysis techniques to practical systems. Principles of Model Based Design.
Digital Control
Direct digital control, sampled-data systems, the z transform, D to A and A to D implementations, anti-alias filters, acquisition components, Apply mathematical techniques to determine the stability of digitally controlled systems.
| Module Content & Assessment | |
|---|---|
| Assessment Breakdown | % |
| Other Assessment(s) | 30 |
| Formal Examination | 70 |