The design of self-tuning strategy of genetically optimized Fuzzy-PI controller for HVDC system

  • Authors:

  • Zhong-xian Wang;Jueng-je Yang;Tae-chon Ahn

  • Affiliations:

  • Department of Electrical Electronic and Information Engineering, Wonkwang University, Jeonbuk-Do, Republic of Korea;Department of Electrical Electronic and Information Engineering, Wonkwang University, Jeonbuk-Do, Republic of Korea;Department of Electrical Electronic and Information Engineering, Wonkwang University, Jeonbuk-Do, Republic of Korea

  • Venue:
  • KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
  • Year:
  • 2006

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Abstract

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 traditional 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. In order to solve the above problems, we adapt Fuzzy-PI controller with and without self-tuning for the fire angle control of rectifier. 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 FIS controller by Genetic Algorithms. Then, we adopt fuzzy logic controller to tune the scaling factors on line. A comparative study has been performed among traditional PI controller and Fuzzy-PI controller with and without self-tuning, to prove the superiority of the proposed scheme.