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

作者：Das Sharma Kaushik^*; Chatterjee Amitava; Rakshit Anjan

来源：IEEE Transactions on Control Systems Technology, 2010, 18(6): 1440-1447.

DOI：10.1109/TCST.2009.2039138

• Adaptive fuzzy logic controllers (AFLCs)
• harmony search algorithm
• hybrid approaches
• Lyapunov theory
• stochastic optimization

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.

• 出版日期2010-11