This course provides a theoretical background to continuous- and discrete-time control and shows how it is applied to real systems. Topics include frequency-domain and time-domain methods, multi-variable and state-space techniques, discretisation and quantisation of a signal, digital signal processing, aliasing and digital design by emulation. A laboratory gives the opportunity to apply the methods practically. 

4 lectures per week

2 tutorial sessions

2 laboratory sessions (2hrs each)

Control M (ENG5022)

Control System Analysis and Design 4 (ENG4195)

Control System Analysis and Design M (ENG5314)

None

80% Written Exam

20% lab (12% lab report + 8% Moodle quiz)

It is the default expectation that all courses will offer opportunities for reassessment or deferred assessment. Where it is not possible to offer this in some assessment components, the grade achieved at the first attempt will be counted towards the final course grade, and any exceptions for this course are described below.

[No exceptions]

This aims of this course are to:

■ provide an understanding of continuous and discrete time control systems;

■ develop linear control systems in the state space and in the frequency domains;

■ introduce multi-variable control methods;

■ provide a practical context by introducing techniques for digital control design and implementation in digital systems.

By the end of this course students will be able to:

■ explain frequency domain, time domain and state space concepts of control systems, in the continuous and discrete time domains;

■ apply and evaluate frequency domain design and analysis techniques, including Bode plots, Nyquist diagrams and loop-shaping design, in the continuous and discrete time domains;

■ analyse and design linear feedback systems based on state-estimator feedback control, including multi-variable control;

■ design, implement and evaluate feedback control system using MATLAB and Simulink for simulations and real-time applications.