Fuzzy Sliding Mode Control Design Based on Genetic Algorithms: Application for Building Structures
Publish place: 5th Intelligent Systems Conference
Publish Year: 1382
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICS05_108
تاریخ نمایه سازی: 16 آذر 1390
Abstract:
In this paper, the design of fuzzy sliding mode control based on genetic algorithms is studied. Using the proposed approach, a robust controller is designed for building structures under earthquake excitation. When a fuzzy logic control method is used for a structural system, it is hard to get proper control rules directly, and to guarantee the stability and robustness of the fuzzy control system. Generally, the fuzzy controller combined with sliding mode control is applied, but there is still no criterion to reach an optimal design of the FSMC. In this paper, therefore, we design a fuzzy sliding mode controller for the building structure control system as an optimization problem and apply the optimal searching algorithms and GAs to find the optimal rules and membership functions of the FSMC. The proposed approach has the merit to determine the optimal structure and the inference rules of fuzzy sliding mode controller simultaneously. It is found that the building structure under the proposed control method could sustain in safety and stability when the system is subjected to external disturbances.
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Authors
Farhad Besharati
Control & Intelligent processing Center of Excellence, ECE Department, University of Tehran, P.O. Box ۱۴۳۹۵/۵۱۵, Tehran, IRAN,
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