Control systems
J S Stecki
4 points * 22 lectures, 9 tutorials, 6 laboratory classes * First semester * Clayton * Prerequisites: It is recommended that MEC3402 be completed first
Objectives To develop understanding of mathematical tools associated with feedback control systems (root locus, frequency response, compensation). To develop understanding of control theory as the link between physical systems and their mathematical models. To develop basic knowledge of digital control theory and the role of computers and programmable logic controllers. To become familiar with advanced control techniques (optimal control and adaptive control, neural net controllers, fuzzy logic controllers).
Synopsis Strategies for control. Improving system response. Optimisation of response via multi-parameter optimisation. Steady-state errors in automatic control systems. Controllers and compensators. Open-loop frequency response and root locus techniques and their use in correcting system behaviour. Stability, controllability and observability of proposed control system. Digital simulation (Matlab, Vissim). Programmable logic controllers. Introduction to intelligent control. Digital control technology. Introduction to adaptive and optimal control.
Assessment Examination (final): 70% * Test: 15% * Assignment (design): 15%
Prescribed texts
Dransfield P Systems and control part 2, Dept Mechanical Engineering, Monash U, 1996
Hargrave Library has numerous reference texts on automatic control systems.
| Published by Monash University, Clayton, Victoria
3168 Copyright © Monash University 1996 - All Rights Reserved - Caution Authorised by the Academic Registrar December 1996 |