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Specification of a control system fitness function using constraints for genetic algorithm based design methods

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), 12-14 Sep 1995, Sheffield, UK.

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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
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):Murray-Smith, Prof David and Li, Prof 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 > Systems Power and Energy
College of Science and Engineering > School of Engineering

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