Performance based linear control system design by genetic evolution with simulated annealing

Li, Y. , Tan, K.C., Ng, K.C. and Murray-Smith, D.J. (1995) Performance based linear control system design by genetic evolution with simulated annealing. In: 34th IEEE Conference on Decision and Control, New Orleans, LA, 13-15 Dec 1995, pp. 731-736. (doi: 10.1109/CDC.1995.479066)

Abstract

This paper develops a genetic algorithm based design automation method for linear control systems. It unifies the design and avoids the need for pre-selection of control schemes. Using this method, best performance is obtained for controllers described by a transfer function. The genetic algorithm encoded in decimal numerals is fine tuned by incorporating a simulated annealing technique for a more accurate search. It is shown that the design can be applied to both linear and nonlinear plants without manual calculations and can include practical constraints imposed upon the performance requirement. This method also allows the step of linearising nonlinear plants to be bypassed.

• Item Type: Conference Proceedings
• Keywords: Linear system, control system design, genetic algorithm, simulated annealing, optimisation, design automation
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Murray-Smith, Professor David and Li, Professor Yun
• Authors: Li, Y., Tan, K.C., Ng, K.C., and Murray-Smith, D.J.
• 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