Decentralized Adaptive Type 2 Fuzzy Controller Design with Particle swarm optimization (PSO) algorithm for large- scale systems
Publish place: International Conference on Engineering, Art and Environment
Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CEAE01_213
تاریخ نمایه سازی: 14 مرداد 1394
Abstract:
In this paper, decentralized adaptive fuzzy control scheme with simplified Type 2 and (PSO) algorithm is proposed for Large-Scale nonlinear systems with dead-zone. Therefore, in addition to uncertainty and system connections, controllers are often required to accommodate dead-zone uncertainties. With Fuzzy approximations, unknown nonlinear functions of systems and uncertainty of large-scale nonlinear system are approximated. Despite the advantages of type-2 fuzzy systems in control applications, the main problems are to apply uncertainty which prevents widespread use of type 2 fuzzy in Concurrent applications and also its High computational cost.In order to reduce the problem of type-2 fuzzy logic systems, a simplified Type 2 fuzzy logic system is proposed based on combined structure of four type 1 fuzzy systems and a Particle swarm optimization(PSO) algorithm. (PSO) algorithm optimizes controller gains and acquires a more robust response than the simplified type-2 fuzzy.
Keywords:
Large scale systems , Decentralized control , Particle swarm optimization (PSO) algorithm , Type-2 fuzzy
Authors
Toktam lotfi
Islamic Azad University Gonabad Branch,Gonabad,Iran
Hossein Lotfi
Islamic Azad University Bojnourd Branch, Bojnourd ,Iran
Assef zare
Islamic Azad University Gonabad Branch,Gonabad,Iran
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