Control Engineering UESTC4003

  • Academic Session: 2024-25
  • School: School of Engineering
  • Credits: 20
  • Level: Level 4 (SCQF level 10)
  • Typically Offered: Semester 1
  • Available to Visiting Students: No
  • Collaborative Online International Learning: No

Short Description

This course introduces a range of techniques in classical and modern control, including state space representation and digital control. It allows students to appreciate the nature and application of control engineering.

Timetable

This course will be timetabled in blocks, typically one week in four with tutorials and on-line support available between each block.

Requirements of Entry

Mandatory Entry Requirements

None

Recommended Entry Requirements

None

Excluded Courses

None

Co-requisites

None

Assessment

75% Written Exam

15% Design Report

10% Set Exercise: Tutorials and computer labs

Main Assessment In: December

Are reassessment opportunities available for all summative assessments? No

Reassessments are normally available for all courses, except those which contribute to the Honours classification. For non Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions for this course are described below. 

 

Due to the nature of the coursework and sequencing of courses, it is not possible to reassess the coursework performed in the computer laboratory and design project.

Course Aims

The aim of this course is to extend the student's understanding of classical and modern control theory, and to analyse and design linear control systems in the state space domains and digital domain.

Intended Learning Outcomes of Course

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

■ analyse control system transfer functions and relate the parameters to system dynamic performance;

■ derive the dynamic system response from the state-space form;

■ design and analyse controllers using pole placement techniques;

■ analyse linear discrete-time systems and manipulate transfer functions from continuous to discrete forms;

■ appreciate the use of Matlab and Simulink as simulation tools for control system analysis and design

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment and attend the practical classes.