Postgraduate taught 

Mechanical Engineering MSc

Control M ENG5022

  • Academic Session: 2024-25
  • School: School of Engineering
  • Credits: 20
  • Level: Level 5 (SCQF level 11)
  • 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)

Excluded Courses

Control 4 (ENG4042)

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

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.