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Genetically optimized self-tuning Fuzzy-PI controller for HVDC system
왕중선(Zhongxian Wang),양정제(Juengje Yang),안태천(Taechon Ahn) 대한전기학회 2006 정보 및 제어 심포지엄 논문집 Vol.2006 No.1
In this paper, we study an approach to design a self-tuning Fuzzy-PI controller in HVDC(High Voltage Direct Current) system. In the rectifier of conversional HVDC system, turning on, turning off, triggering and protections of thyristors have lots of problems that can make the dynamic instability and cannot damp the dynamic disturbance efficiently. The above problems are solved by adapting Fuzzy-PI controller for the fire angle control of rectifier.[7] The performance of the Fuzzy-PI controller is sensitive to the variety of scaling factors. The design procedure dwells on the use of evolutionary computing(Genetic Algorithms, GAs). Then we can obtain the optimal scaling factors of the Fuzzy-PI controller by Genetic Algorithms. In order to improve Fuzzy-PI controller, we adopt FIS to tune the scaling factors of the Fuzzy-PI controller on line. A comparative study has been performed between Fuzzy-PI and self-tuning Fuzzy-PI controller. to prove the superiority of the proposed scheme.
Adaptive Granule Control with the Aid of Rough Set Theory for a HVDC system
왕중선(Zhongxian Wang),양정제(Jeungje Yang),안태천(Taechon Ahn) 대한전기학회 2006 대한전기학회 학술대회 논문집 Vol.2006 No.11
A proportional intergral (PI) control strategy is commonly used for constant current and extinction angle control in a HVDC (High Voltage Direct Current) system. A PI control strategy is based on a stactic design where the gains of a PI controller are fixed. Since the response of a HVDC plant dynamically changes with variations in the operation point, a PI controller performance is far from optimum. The contribution of this paper is the presentation of the design of a rough set based, fuzzy adaptive control scheme. Experimental results that compare the performance of the adaptive control and PI control schemes are also given.