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.
Full text not currently available from Enlighten.
Publisher's URL: http://dx.doi.org/10.1049/cp:19951103
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|
|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 > Systems Power and Energy|
College of Science and Engineering > School of Engineering