Please note: Due to alternative arrangements for teaching and
assessment in place from 18 March 2020 to mitigate against the restrictions in
place due to COVID-19, information shown for 2019/20 may not always be accurate.
Please note: you are viewing unit and programme information
for a past academic year. Please see the current academic year for up to date information.
| Unit name |
Systems and Control Engineering 3 |
| Unit code |
MENG30202 |
| Credit points |
10 |
| Level of study |
H/6
|
| Teaching block(s) |
Teaching Block 2 (weeks 13 - 24)
|
| Unit director |
Dr. Alicia Gonzalez-Buelga |
| Open unit status |
Not open |
| Pre-requisites |
The Systems and Control Engineering component of MENG22200 or equivalent
|
| Co-requisites |
None
|
| School/department |
Department of Mechanical Engineering |
| Faculty |
Faculty of Engineering |
Description including Unit Aims
This unit delivers a broad range of methods for students to analyse and evaluate the stability and performance of feedback controlled closed-loop systems. It also equips the students with the necessary knowledge to master controller design. Systems modelling and identification from experimental data are also covered during the course.
Aims:
The aim of this course is to provide students with the ability to analyse, evaluate and create feedback closed-loop controllers using techniques in all different domains: continuous time, frequency, Laplace and discrete time.
Intended Learning Outcomes
On successful engagement with the unit the participants should be able to:
- Apply stability tests such as Routh and Nyquist criteria.
- Analise stability and performance using Nyquist and Bode plots.
- Evaluate the robustness of a controller by calculating stability margins using Nyquist and Bode plots.
- Estimate the closed-loop step response of a system from Roots Loci graphs and Bode plots.
- Develop system’s parameter estimation from experimental Nyquist and Bode plots.
- Design feedback controllers for a given specification using design techniques such as Bode plots in the frequency domain or Roots Loci in the Laplace domain.
- Manipulate discrete data sequences using the Z-transform.
- Design discrete time controllers using the indirect method.
Teaching Information
22 hours of lectures
2h laboratory session.
1h week office hours.
Control demonstrators available for students to use
Assessment Information
Formative assessment using tests on Blackboard.
Formative assessment during laboratory session.
Summative assessment (100% of credits) by a 2 hour examination in May/June, candidates to answer 3 questions out of 4.
Reading and References
- Dorf, R. & Bishop, R.H., Modern Control Systems, (2011), 12th ed., Pearson Prentice-Hall. ISBN-10: 0131383108. ISBN-13: 9780131383104. Classmark: TJ213 DOR
- Ogata, K., Modern Control Engineering. (2010), 5th ed., Pearson Prentice-Hall. ISBN-10: 0137133375. ISBN-13: 9780137133376.
- Goodwin, G.C., Graebe, S.F. & Salgado, M.E., Control System Design. (2001), Pearson Prentice-Hall. ISBN-10: 0139586539. Classmark: TJ213 GOO
- Dutton, K., Thompson, S. & Barraclough, B., The Art of Control Engineering. (1997), 1st ed., Addison-Wesley. ISBN-10: 0201175452. Classmark: TJ213 DUT
