PIDD2 Control of Large Wind Turbines’ Pitch Angle

Xingqi Hu (), Wen Tan and Guolian Hou
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Xingqi Hu: School of Control & Computer Engineering, North China Electric Power University, Beijing 102206, China
Wen Tan: School of Electrical and Control Engineering, North China University of Technology, Beijing 100144, China
Guolian Hou: School of Control & Computer Engineering, North China Electric Power University, Beijing 102206, China

Energies, 2023, vol. 16, issue 13, 1-22

Abstract: The pitch control system has a profound impact on the development of wind energy, and yet a delay or non-minimum phase can weaken its performance. Thus, there is a strong incentive to enhance pitch control technology in order to counteract the negative effects of unidentified delays and non-minimum phase characteristics. To reduce the complexity of the parameter-tuning process and improve the performance of the system, in this paper, we propose a novel control method for wind turbine pitch angle with time delays. Specifically, the proposed control method is state-space PIDD2, which is based on internal model control (IMC) and the open-loop system step response. Then, considering the tracking, disturbance rejection and measurement noise, the proposed controller is verified through simulations. The simulation results demonstrate that the state-space PIDD2 (SS-PIDD2) can provide a trade-off between robustness, time domain performance and measurement noise attenuation and effectively improve pitch control performance in contrast to series PID and PI control methods.

Keywords: pitch angle control; wind turbine systems; time delay; state-space PIDD2; internal model control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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