Gray, G.J., Li, Y. , Murray-Smith, D.J. and Sharman, K.C. (1995) Specification of a control system fitness function using constraints for genetic algorithm based design methods. In: Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA 95), Sheffield, UK, 12-14 Sep 1995, pp. 530-535. (doi: 10.1049/cp:19951103)
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Publisher's URL: http://dx.doi.org/10.1049/cp:19951103
Abstract
This paper proposes a fitness function for genetic algorithms used in control system design based on derived response shape. A technique is presented that allows control system performance to be specified as constraints on the system response rather than an error function. A genetic algorithm is used to solve the resulting constrained optimisation problem with the nonlinearity of the cost function. A design example of practical PID control of alift system is given, showing the flexibility of this type of control system specification and the performance achieved.
Item Type: | Conference Proceedings |
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Additional Information: | IEE Conference Publication No 414 |
Keywords: | control system, fitness function, constrained optimisation, Genetic algorithm, proportional integral and derivative control, lift system control |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Murray-Smith, Professor David and Li, Professor Yun |
Authors: | Gray, G.J., Li, Y., Murray-Smith, D.J., and Sharman, K.C. |
Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering |
College/School: | College of Science and Engineering > School of Engineering College of Science and Engineering > School of Engineering > Systems Power and Energy |
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