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  • 标题:Adaptive Pso Based Optimal Fuzzy Controller Design for Agc Equipped with Smes and Spss
  • 本地全文:下载
  • 作者:R.shankar Naik ; K.chandrasekhar ; K.vaisakh
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2009
  • 卷号:7
  • 期号:01
  • 出版社:Journal of Theoretical and Applied
  • 摘要:

    This paper presents the optimal fuzzy controller design for load frequency control (LFC) of two area power system using Adaptive Particle Swarm Optimization (APSO). Firstly, the controller is designed according to Fuzzy Logic rules such that the systems are fundamentally robust. Secondly, the Fuzzy Logic controller (FLC) used earlier was optimized with PSO so as to obtain optimal adjustment of the membership functions only. Finally, the FLC is completely optimized by Swarm Intelligence Algorithms. Digital simulation results demonstrate that in comparison with the FLC, the designed FLC-APSO speed controller gives better dynamic performance of the LFC, as well as without any overshoot. The proposed controller is compared against other controllers. The results show that the proposed controller outperforms other schemes.

  • 关键词:Fuzzy Controllers;Frequency Control;Fuzzy Logic Controllers;Speed Controller
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