An Active Disturbance Rejection Control of Large Wind Turbine Pitch Angle Based on Extremum-Seeking Algorithm
Yarong Zou,
Wen Tan,
Xingkang Jin and
Zijian Wang
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Yarong Zou: School of Control and Computer Engineering, North China Electric Power University, 2 Beinong Road, Changping District, Beijing 102206, China
Wen Tan: School of Control and Computer Engineering, North China Electric Power University, 2 Beinong Road, Changping District, Beijing 102206, China
Xingkang Jin: School of Control and Computer Engineering, North China Electric Power University, 2 Beinong Road, Changping District, Beijing 102206, China
Zijian Wang: School of Control and Computer Engineering, North China Electric Power University, 2 Beinong Road, Changping District, Beijing 102206, China
Energies, 2022, vol. 15, issue 8, 1-15
Abstract:
This paper proposes the analysis and design of the linear active disturbance rejection controller (LADRC) for the pitch angle model of a large wind turbine generator (WTG). Since the transfer function of the pitch control system exhibits nonminimum-phase characteristics, the parameters of LADRC are difficult to tune using the conventional bandwidth method. On the basis of PI controller parameters to first-order LADRC parameters, an optimization problem is proposed in this paper to find the parameters of an LADRC for the pitch control system under the constraint of robustness measure, and the extremum-seeking (ES) algorithm is used to solve the problem. Simulation results show that LADRC can achieve better tracking and disturbance rejection performance than traditional PI control without loss of robustness against time delay.
Keywords: pitch angle control; wind turbine; time delay; linear active disturbance rejection controller; PI control; extremum-seeking algorithm (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: 2022
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Citations: View citations in EconPapers (1)
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