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http://dx.doi.org/10.5370/KIEE.2012.61.4.650

Structure Optimization of Fuzzy Model Using PSO  

Kim, Doo-Hyun (한양대 전자전기제어계측공학과)
Han, Byung-Jo (한양대 전자전기제어계측공학과)
Lee, Sok-Yong ((주)삼현)
Yan, Hai-Won (한양대 전자컴퓨터공학부)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.61, no.4, 2012 , pp. 650-655 More about this Journal
Abstract
This paper proposed PSO-Fuzzy controller design method. We could improve the learning performance of fuzzy controller by using PSO algorithm, which had recently showed its robust of performance while solving various difficult optimization problems. In other words, our aim was to forward the controller is performance by deciding fuzzy model structure that had good performance on optimization of the controller, based on PSO. During a simulation, we could see whether the mobile robot could convergence on the final goal or not, and also see the error, and through this process, we found out that this controller is more robust than the conventional controller.
Keywords
PSO; Fuzzy model; PSO-fuzzy; Mobile robot;
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