Genetic Algorithms Applied to Fuzzy Sliding Mode Controller Design

Ng, K.C., Li, Y. , Murray-Smith, D.J., and Sharman, K.C. (1995) Genetic Algorithms Applied to Fuzzy Sliding Mode Controller Design. In: 1st IEE/IEEE International Conference on Genetic Algoritms in Engineering Systems: Innovations and Applications, Sheffield, UK, 12th-14th September 1995, pp. 220-225.

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The drawbacks of sliding mode control in terms of high control gains and chattering are overcome by incorporating fuzzy control in the switching logic. This hybrid system increases the complexity in design and, at present, there exist no effective design tools due to the lack of analytical and numerical approaches. This paper develops an automated design approach to this design problem, using tournament and rank-based genetic algorithms to replace trial-and-error designs. The method is illustrated through the design of a near-optimal fuzzy-sliding mode controller for a nonlinear liquid-level control system. The control strategy gives relatively low overshoots with smooth control action and retains the robustness of the sliding mode approach.

Item Type:Conference Proceedings
Additional Information:IEE Conference Publication No. 414. Published by IEE, 1995.
Keywords:genetic algorithm, fuzzy sliding-mode control, hybrid system, liquid-level control, robustness
Glasgow Author(s) Enlighten ID:Murray-Smith, Professor David and Li, Professor Yun
Authors: Ng, K.C., 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

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