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), Sheffield, UK, 12-14 Sep 1995, pp. 530-535. (doi: 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) 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