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MECH3005 Automatic Control
0.5 / 7.5
||Dr Ben Hanson (100%) Module Coordinator|
Dr Andrea Ducci
Mathematics to second year undergraduate level to include significant experience of complex number theory including their representation of sinusoids. Linear 1st and 2nd order ordinary differential equations; their forms and solutions, including forcing function inputs.
MECH2006 or equivalent instruction or experience in dynamics and modelling of linear systems.
Provide students with instruction and experience in the following:
- Developing simplified (linear) models of real-world systems
- Analysing the performance of systems in the time domain and frequency domain
- Designing controllers to improve and/or stabilise the performance of systems
Method of Instruction
One-hour sessions twice-weekly through term time comprising lectures, tutorial (examples) classes, and computer-based laboratory sessions.
The course has the following assessment components:
- Written Examination (3 hours, 75%)
The examination rubric is: Answer 5 questions (from 8 offered), all questions carry equal weight.
1. Remote operation of a servo motor system, via internet-operated laboratory.
2. Matlab-based industrial consultancy case-study: design of vehicle suspension-testing facility.
Two further short assignments (25% combined)
To pass this course, students must:
- Obtain an overall pass mark of 40% for all sections combined
- Standard attendance and participation requirements apply.
There is no compulsory textbook but the following may be useful for reference:
- “Art of control Engineering” (1997). Dutton, K., Thompson, S. and Barraclough, B. Pub: Addison-Wesley ISBN 0-201-17545-2.
- “Schaum's outline of theory and problems of feedback and control systems” (1990). DiStefano III, J.J., Stubberud, A.R. and Williams I.J. Pub: McGraw-Hill, ISBN 0070170479. M.
- “Modern Control Systems”, R C Dorf and R H Bishop, Prentice Hall, 9th 10th or 11th editions.
Root locus methods.
Frequency response methods, Bode & Nyquist plots.
Compensation using filters.
Discussion of non-linear systems, modern control theory, adaptive, optimal and digital control.
Page last modified on 26 sep 13 15:53