Wind turbine pitch control using ICPSO-PID algorithm

Chang Xu, Qiangqiang Tian, Wen Zhong Shen, Yuan Zhen, Deyou Liu, Ming Zhang

Research output: Contribution to journalJournal articleResearchpeer-review


For the traditional simplified first-order pitch-control system model, it is difficult to describe a real dynamic characteristic of a variable pitch action system, thus a complete high order mathematical model has to be developed for the pitch control of wind turbine generation (WTG). In the paper, a pitch controller was designed based on power and wind speed and by considering the inertia and delay characteristics of a pitch-control system to achieve a constant power output when a wind speed was beyond the rated one. A novel ICPSO-PID control algorithm was proposed based on a combination of improved cooperative particle swarm optimization (ICPSO) and PID, subsequently, it was used to tune the pitch controller parameters; thus the difficulty in PID tuning was removed when a wind speed was above the rated speed. It was indicated that the proposed optimization algorithm can tune the pitch controller parameters quickly; and the feed-forward controller for wind speed can improve dynamics of a pitch-control system; additionally the power controller can allow a wind turbine to have a constant power output as a wind speed is over the rated one. Compared with a conventional PID, the controller with ICPSO-PID algorithm has a smaller overshoot, a shorter tuning time and better robustness. The design method proposed in the paper can be applied in a practical electro-hydraulic pitch control system for WTG.
Original languageEnglish
JournalPaiguan Jixie Gongcheng Xuebao
Issue number11
Pages (from-to)973-979
Number of pages7
Publication statusPublished - 2013


  • Electro-hydraulic
  • Particle swarm optimization
  • PID control
  • Pitch angle control
  • Wind turbine generation


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