AdvancedControl 5 ENG5009

  • Academic Session: 2018-19
  • School: School of Engineering
  • Credits: 10
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Semester 2
  • Available to Visiting Students: Yes
  • Available to Erasmus Students: Yes

Short Description

This course introduces Robust, Optimal and Intelligent based control methodologies. Students will design and analyse controllers for various applications within the time domain. The students will learn how such controllers can be implemented and will be able to select controllers based on the application.

Timetable

2 lectures per week

Requirements of Entry

Mandatory Entry Requirements

None

Recommended Entry Requirements

None

Excluded Courses

None

Co-requisites

None

Assessment

80% Written Exam

20% Report: Report on project assignment

Main Assessment In: April/May

Course Aims

This course introduces Robust, Optimal and Intelligent based control methodologies, enabling the students to design and analyse advanced controllers and provide a framework in which to select the correct controller for a given application and provide the skills in which to implement the controllers for a range of devices.

Intended Learning Outcomes of Course

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

■ use Robust, Optimal and Intelligent control methods to design controllers for specific applications;

■ select suitable parameters for the control methods introduced in the course;

■ evaluate an application from a control perspective, leading to a suitable controller selection;

■ implement these control strategies within a range of contexts;

■ understand how these controllers are implemented on different hardware targets;

■ demonstrate the implementation of the controller within a mobile robot context.

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.