Detailed module information
Module information on this degree can be found below, separated by year of study.
The module information below applies for the current academic year. The academic year runs from August to July; the 'current year' switches over at the end of July.
Students select optional courses subject to rules specified in the Mechanical Engineering Student Handbook, for example at most three Design and Business courses. Please note that numbers are limited on some optional courses and selection criteria will apply.
The principal aim of the module is to give the students understanding and working knowledge of modelling, analysis and design methods in relation to continuous and discrete control systems. Introduction to state variable analysis is also provided. It is assumed that the students have some knowledge of classical control theory, including frequency response methods and complex frequency methods. A level of understanding of linear algebra is also assumed. The coursework assignments are designed to give the student an opportunity to develop skills in carrying out realistic control designs using modern simulation and analysis tools.
ECTS units: 5
On successfully completing this module, students will be able to:
1. Explain the principles on which continuous and discrete-time control systems are modelled, analysed and designed
2. Discuss the modelling and analysis of dynamics systems using state variable theory
3. Analyse a continuous control system using Bode diagrams and Root Locus methods
4. Design a closed-loop continuous control system for specified transient and steady state performance
5. Develop discrete-time models of sampled data systems using the z-transform methods
6. Perform stability analysis and closed loop control system design for sampled data systems system using Root Locus method in the z-domain
7. Develop state variable models of linear dynamic systems
- Analogue control systems
- Digital control systems
- Introduction to state variable analysis
- State variable models of continuous systems
- Introduction to Kalman filter
|Assessment type||Assessment description||Weighting||Pass mark||Must pass?|
|Examination||3 Hour exam||100%||50%||Y|