
ELE3105 Computer Controlled Systems
Units : 
1 
Faculty or Section : 
Faculty of Health, Engineering and Sciences 
School or Department : 
School of Mechanical and Electrical Engineering 
Student contribution band : 
Band 2 
ASCED code : 
031399  Electrical, Electronic Enginee 
Requisites
Prerequisite: ELE2103 or Students must be enrolled in one of the following Programs: GCNS or GCEN or GDNS or MEPR or MENS or METC
Synopsis
To apply control to any 'real' problem, it is first necessary to express the system to be controlled in mathematical terms. The 'state space' approach is taught both for expressing the system dynamics and for analysing stability both before and after feedback is applied. These concepts involve revision and extension of matrix manipulation and the solution of differential equations. By defining a timestep to be small, these state equations give a means of simulating the system and its controller for both linear and nonlinear cases. Many of the implementations of online control now involve a computer, which applies control actions at discrete intervals of time rather than continuously. It is shown that discretetime state equations can be derived which have much in common with the continuous ones. Simulation does not then rely on a very small time step. The operator 'z' is first introduced with the meaning of 'next', resulting in a higher order difference equation to represent the system, then shown to be a parameter in the infinite series which is summed to form a 'z transform'. It is shown that the discretetime transfer function in z can be derived from the Laplace transform of the continuous system, with additional terms to represent the zero order hold of the DAC. Analysis of stability in terms of the roots of a characteristic equation are seen to parallel the continuous methods and techniques of pole assignment and root locus are also seen to correspond. Techniques are presented for synthesising transfer functions by means of a few lines of computer code, to make stable control possible for systems which would be unstable with simple feedback.

