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Design of a Hybrid Stable Adaptive Fuzzy Controller Employing Lyapunov Theory and Harmony Search Algorithm

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3 Author(s)
Das Sharma, K. ; Dept. of Electr. Eng., West Bengal Univ. of Technol., Kalyani, India ; Chatterjee, A. ; Rakshit, A.

This brief proposes hybrid stable adaptive fuzzy controller design procedures utilizing the conventional Lyapunov theory and, the relatively newly devised harmony search (HS) algorithm-based stochastic approach. The objective is to design a self-adaptive fuzzy controller, optimizing both its structures and free parameters, such that the designed controller can guarantee desired stability and simultaneously it can provide satisfactory performance with a high degree of automation in the design process. Two different variants of the hybrid controller are proposed in this work. These variants are implemented for a benchmark simulation case study and real-life experimentation. The results obtained demonstrate the usefulness of the proposed approach.

Published in:

Control Systems Technology, IEEE Transactions on  (Volume:18 ,  Issue: 6 )

Date of Publication:

Nov. 2010

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