Research on Optimizing Parameters of Pitch Angle Controller Based on Genetic Algorithm

  • Shiguang ZhengEmail author
  • Chih-Yu Hsu
  • Jeng-Shyang Pan
  • Joe-Yu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1107)


This paper takes the pitch angle control of the wind turbine as the research object, for the sake of optimizing the performance of the pitch angle controller. The three parameters of the quantization factor \( K_{e} ,\,K_{ec} \) and the scale factor \( K_{u} \) in the fuzzy controller have a significant impact on the pitch angle. In this paper, the wind turbine is modeled in Matlab/Simulink, and the optimal solution of \( K_{e} ,K_{ec} \) and \( K_{u} \) is sought by the genetic algorithm. The simulation reveal that the optimized fuzzy controller has faster response and less fluctuation than the fuzzy controller without optimization and PID controller, which effectively avoids the loss caused by frequent blade start.


Pitch angle Quantization factor Genetic algorithm Fuzzy control 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Shiguang Zheng
    • 1
    Email author
  • Chih-Yu Hsu
    • 1
  • Jeng-Shyang Pan
    • 1
    • 2
  • Joe-Yu
    • 1
  1. 1.School of Information Science and EngineeringFujian University of TechnologyFuzhouChina
  2. 2.College of Computer Science and EngineeringShandong University of Science and TechnologyQingdaoChina

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