Control 4 ENG4042

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

Short Description

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. 

Timetable

4 lectures per week

2 tutorial sessions

2 laboratory sessions (2hrs each)

Requirements of Entry

Mandatory Entry Requirements

None

Recommended Entry Requirements

None

Excluded Courses

Control M (ENG5022)

Control System Analysis and Design 4 (ENG4195)

Control System Analysis and Design M (ENG5314)

Co-requisites

None

Assessment

90% Written Exam

10% lab (5% lab report + 5% Moodle quiz)

Main Assessment In: December

Are reassessment opportunities available for all summative assessments? Not applicable

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. 

Course Aims

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.

Intended Learning Outcomes of Course

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.

Minimum Requirement for Award of Credits

Students must attend the degree examination and submit at least 75% by weight of the other components of the course's summative assessment.

 

Students must attend the timetabled laboratory classes.

 

Students should attend at least 75% of the timetabled classes of the course.

 

Note that these are minimum requirements: good students will achieve far higher participation/submission rates.  Any student who misses an assessment or a significant number of classes because of illness or other good cause should report this by completing a MyCampus absence report.