ACS230 Control Systems Design and Analysis
This module gives a solid theoretical foundation for understanding feedback control system analysis, design and application and is suitable for general engineering students. This is supported by hardware laboratories, PC laboratory activities and coursework.
Content covers standard analysis tools such as root-loci, Bode diagrams, Nyquist diagrams and z-transforms. The latter part of the course focuses on the design of common feedback strategies using these analysis tools and students will undertake indicative designs and reinforce learning through application to laboratory and hardware systems.
Credits: 20 (Academic Year)
Pre-requisites: ACS132 or equivalent
Dr Mahdi Mahfouf
If you have any questions about the module please talk to us during the lectures or labs in the first instance. It is likely that other students will learn from any questions you ask as well, so don’t be afraid to ask questions.
Outside of lectures please contact us via the MOLE discussions board as this ensures all students see the query and response.
Other teaching staff
Mr Ben Taylor
By the end of the module students will be able to:
This module satisfies the AHEP3 (Accreditation of Higher Education Programmes, Third Edition) Learning Outcomes that are listed in brackets after each learning outcome above. For further details on AHEP3 Learning Outcomes, see the downloads section of our accreditation webpage.
1. Explain the principles of closed-loop control, transfer function models, stability and time response analysis;
2. Interpret practical performance specifications of a control system;
3. Analyse a simple system using the root locus method;
4. Design a simple control law using the root locus method.
5. Analyse a simple control systems using different forms of frequency response diagrams;
6. Use computer aided design software for control system analysis and design;
7. Convert time-domain design specifications into frequency domain design specifications.
8. Analyse and design common compensator structures (e.g. lead, lag) using frequency response methods.
9. Implement and evaluate different compensator strategies on CAD tools and laboratory hardware.
10. Demonstrate the application of control design tools in real applications.
11. Understand the need for the digitisation of systems as well as understand the idea behind digital systems;
12. Understand the Shannon-Nyquist Theorem and be able to select the sampling interval for a given system;
13. Determine the z-transform and its inverse for a given system and get to grips with the concept of mapping between Laplace and z domains;
14. Manipulate and understand the algebra associated with sampled system diagrams;
15. Analyse and compensate for sampled-data systems using Bode diagrams and the root-locus technique.
Learning and Teaching Methods
Lectures: 48 hours
Learning and Teaching Materials
All teaching materials will be available via MOLE and a university shared server (accessible via MUSE and on the main network).
10% Sem 2 mid term quiz
7.5% Sem 1 lab work
7.5% Sem 2 lab work
65% end of year exam covering Sem 1 & 2
All the semester 1 assignments are designed to give students fast quantitative feedback on their progress in that they allow students to assess explicitly to what extent they have mastered different topics. These are delivered via MOLE computer quizzes.
In addition, formative drop in sessions are available several hours per week in semester 1 for students to develop any MATLAB skills required for some of the quizzes and indeed to ask queries on tutorial sheets. Demonstrators will also answer other queries related to the module. Students can ask for feedback on their progress and raise any other concerns as well as seek more detailed feedback on any assignments. The lecturers are also responsive to requests for some generic feedback during lecture time, as time permits.
Students are encouraged to provide feedback during the module direct to the lecturer. Students will also have the opportunity to provide formal feedback via the Faculty of Engineering Student Evaluation Survey at the end of the module.