ENGR7711 Advanced Control Systems

2017

4.5

1 x 3-hour workshop once-only
1 x 3-hour practical weekly

1 of ENGR3711, ENGR8721, ENGR9721

ENGR4711 has been successfully completed

Linear Algebra, Calculus, Laplace Transform, Bode Plots, z-Transform, Vector-Matrix Analysis, Signals and Systems, Conventional Control Systems such as can be found in ENGR2711 Engineering Mathematics and ENGR2722 Signals and Systems or MATH2711, MATH2702 and ENGR2112 or MATH2121, MATH2111 and ENGR2111.

This topic covers: introduction to modern control systems; elements of modern control systems; modern control versus classical control; modelling of modern control systems in state space; canonical and practical state-space representations of control systems; state-space control systems' analysis; controllability and observability of modern control systems; multivariable control systems' modelling; decoupling of multi-input and multi-output control systems; state-feedback design of modern control systems; full-order pole-placement design of control systems; full-order state-observer design of control systems; observed state-feedback control systems; optimal control concepts and terminologies; quadratic optimal control systems; discrete-time control systems' modelling and analysis; discretisation and conversion techniques; discrete-time equivalents of control systems' components; design of discrete-time state feedback control systems; modern control systems design examples.

This topic provides students with a comprehensive understanding of the principles of advanced control systems theory and technology as applied to the design and analysis of modern control systems.

At the completion of the topic, students are expected to be able to:

1. Understand the fundamental principles in relation to modern control systems composition and development
2. Acquire the knowledge and the mathematical tools for modern control systems modelling
3. Apply advanced control theory for the analysis of modern control systems in both continuous-time domain and discrete-time domain
4. Determine the characteristics of a modern control system and their effects on the system performance
5. Explain a modern control system's stability, controllability, and observability
6. Understand the practical aspects in relation to the operation of modern control systems and the associated design issues
7. Design modern control systems in both continuous-time and discrete-time domains to meet particular specifications
8. Use state-space concepts and methodologies for the design of a variety of state-feedback controllers and observers
9. Apply industry-compatible design tools and techniques for the study of modern control systems