| Semester 1, 2023 Toowoomba On-campus | |
| Units : | 1 |
| School or Department : | School of Engineering |
| Grading basis : | Graded |
| Course fee schedule : | /current-students/administration/fees/fee-schedules |
Staffing
Course Coordinator:
Requisites
Pre-requisite: ELE2103 or Students must be enrolled in one of the following Programs: GCNS or GCEN or GDNS or MEPR or MENS or METC or GEPR
Overview
This advanced control course enables students to apply control theory to solve real world problem using the most popular digital or computer techniques. Through modelling how a control system works using systems transfer function or state space equation, students can apply both classical control and modern control technologies to simulate and design an efficient control system to meet real world expectations. In addition, this course leads into the higher level studies such as signal process, digital communication, robot and vision.
Students will learn how analog signals and systems can be discretised using sampling theory and represented in Z-transform. For these digitalized signals and systems, Students will study how controllers can be implemented in computer codes, and finally how a complicated system including advanced controller can be designed, implanted and evaluated in real world or/and through simulations.
Course learning outcomes
The course objectives define the student learning outcomes for a course. On completion of this course, students should be able to:
- Convert a continuous time signal or system into discrete time domain;
- Derive discrete time systems model both in transfer function and state space equations;
- Design a computer feedback loop, including algorithms in software;
- Analysis and simulate control systems using state space methods; and
- Design control systems in which the controllers have dynamics implemented in software.
Topics
| Description | Weighting(%) | |
|---|---|---|
| 1. | Use of the Z-transform for analysis and design of computer control loops | 15.00 |
| 2. | Representation of discrete time dynamics in software | 10.00 |
| 3. | Discrete time state equations and stability analysis | 10.00 |
| 4. | Controller design and 'tuning' with controller dynamics, PID | 15.00 |
| 5. | Pole assignment, root locus and other methods in the complex plane | 10.00 |
| 6. | Derivation of state equations | 10.00 |
| 7. | Modelling and simulation by computer | 10.00 |
| 8. | Matrix analysis of continuous linear systems and controllers | 15.00 |
| 9. | Concepts of controllability and observability | 5.00 |
Text and materials required to be purchased or accessed
Student workload expectations
To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.
Assessment details
| Description | Group Assessment |
Weighting (%) | Course learning outcomes |
|---|---|---|---|
| Report | No | 10 | 1,2,3,4,5 |
| Design 1 | No | 20 | 1,2,3 |
| Design 2 | No | 20 | 3,4,5 |
| Time limited online examinatn | No | 50 | 1,2,3,4,5 |