精东传媒app

UniSQ Logo
The current and official versions of the course specifications are available on the web at .
Please consult the web for updates that may occur during the year.

ELE2103 Linear Systems and Control

Semester 2, 2022 Toowoomba On-campus
Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Engineering
Grading basis : Graded
Course fee schedule : /current-students/administration/fees/fee-schedules

Staffing

Examiner:

Overview

This fundamental engineering course enables students to investigate engineering processes, represent them in models and predict their dynamic behaviours from a systems point of view. Through this course students study the essential skills for the analysis, modification and achievement of specific behaviour in dynamic systems, and how to control the performance of dynamic systems.

Course learning outcomes

The course objectives define the student learning outcomes for a course. On completion of this course, students should be able to:

  1. deduce a linear, lumped parameter, time variant model to describe the behaviour of engineering equipment which might include electrical, mechanical, thermal and hydraulic or pneumatic components;
  2. predict the behaviour of a system from its linear model;
  3. exploit the analogous behaviour of different types of physical components and systems which are described by similar models;
  4. select and apply time domain, s-domain and/or frequency domain analysis and design techniques as appropriate;
  5. use the classical methods for design of basic feedback control system.

Topics

Description Weighting(%)
1. Physical system modelling 25.00
2. Time domain analysis and design 20.00
3. S-domain analysis and design 20.00
4. Frequency domain analysis and design 20.00
5. Typical controllers and design 15.00

Text and materials required to be purchased or accessed

Nise, NS 2019, Control systems engineering, 8th edn, Wiley, Hoboken, NJ.
MATLAB, Student Edition, Version 7.0 or later.

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

Approach Type Description Group
Assessment
Weighting (%) Course learning outcomes
Assignments Written Report No 10 1,2,3,4,5
Assignments Design Design No 20
Assignments Design Design No 20
Examinations Non-invigilated Time limited online examinatn No 50 1,2,3,4,5
Date printed 10 February 2023