Year
2021
Units
4.5
Contact
1 x 1-hour lecture-2 once-only
5 x 2-hour lecture-1s per semester
1 x 1-hour workshop-2 once-only
6 x 2-hour workshop-1s per semester
1 x 3-hour practical weekly
Prerequisites
1 of ENGR3711, ENGR8721, ENGR9721
Enrolment not permitted
ENGR4711 has been successfully completed
Assumed knowledge
Linear Algebra, Calculus, Laplace Transform, Bode Plots, z-Transform, Vector-Matrix Analysis, Signals and Systems, Conventional Control Systems such as can be obtained in ENGR2711 Engineering Mathematics and ENGR2722 Analysis of Engineering Systems OR MATH2711 Several Variable Calculus and MATH2702 Linear Algebra and Differential Equations.
Assessment
Demonstration, Project Plan, Reports
Topic description

System modelling using state-space equations. Formulation and design of analogous systems (digital twins). Theoretical and practical implementations of multi-input multi-output (MIMO) control systems with nested single-input single-output (SISO) and multi-input single-output (MISO) systems; including decoupling of MIMO systems. Design and implementation of discrete-time state feedback control systems. Systems engineering approach to the design of control systems.

Educational aims

This topic aims to provide 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.

Expected learning outcomes
On completion of this topic you will be 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

Key dates and timetable

(1), (2)

Each class is numbered in brackets.
Where more than one class is offered, students normally attend only one.

Classes are held weekly unless otherwise indicated.

FULL

If you are enrolled for this topic, but all classes for one of the activities (eg tutorials) are full,
contact your College Office for assistance. Full classes frequently occur near the start of semester.

Students may still enrol in topics with full classes as more places will be made available as needed.

If this padlock appears next to an activity name (eg Lecture), then class registration is closed for this activity.

Class registration normally closes at the end of week 2 of each semester.

Classes in a stream are grouped so that the same students attend all classes in that stream.
Registration in the stream will result in registration in all classes.
  Unless otherwise advised, classes are not held during semester breaks or on public holidays.