Advanced Control
| Code | School | Level | Credits | Semesters |
| EEEE4116 | Electrical and Electronic Engineering | 4 | 20 | Autumn UK |
- Code
- EEEE4116
- School
- Electrical and Electronic Engineering
- Level
- 4
- Credits
- 20
- Semesters
- Autumn UK
Summary
This module covers a range of advanced control techniques used in a wide range of engineering applications. Typical topics include multivariable state space modelling, linear and nonlinear systems, continuous and discrete domains and observer theory.
Reassessment of the module, if required, will be by reassessment of the failed elements.
Target Students
MEng, MSc and PhD students of Electrical and Electronic Engineering
Classes
- One 2-hour practicum each week for 10 weeks
- Two 2-hour lectures each week for 7 weeks
Assessment
- 30% Coursework 1: 15 page report
- 30% Coursework 2: 15 page report
- 40% Exam (2-hour): End of module exam (autumn)
Assessed by end of autumn semester
Educational Aims
To provide students with the skills to be able to analyse and design control systems using State space systems representation and multivariable state feedback control in modern applications.Learning Outcomes
By the end of the module, students should be able to:
LO1 Analyse scenarios to which control is to be applied and understand the nature of the system
LO3 Determine multivariable state space linear models of non-linear systems about an equilibrium point using the small signal analysis
LO2 Apply multivariable state space techniques to determine models of simple linear systems
This module contributes to the delivery of the following Engineering Council outcomes:
M1, M2, C3, M3, M4, C6, M6 and M17
LO7 Assess theoretical techniques to perform multivariable state feedback control design using CAD tools
LO6 Analyse the performance of multivariable state feedback control and its impact on the controlled systems by means of CAD tools
LO5 Describe and apply multivariable state feedback control techniques to the design of linear discrete control systems
LO4 Describe and apply multivariable state feedback control techniques to the design of linear continuous control systems