TY - GEN
T1 - Study on nonlinear sliding mode tracking control based on wind turbine maximum power point
AU - Lu, Chao
AU - Shi, Zhihan
AU - Zhang, Guangming
N1 - Publisher Copyright:
©2024 IEEE.
PY - 2024
Y1 - 2024
N2 - To address the limitations of traditional PID control, including slow response speed, susceptibility to overshoot, and poor robustness under rapid wind speed variations and system nonlinearity, this paper proposes an optimized control method for wind power generation systems based on nonlinear sliding mode control. First, a comprehensive model of the wind power generation system is constructed using wind speed, wind turbine, and generator models. Next, the maximum output power is defined, and the rotational angular velocity error of the wind turbine is derived to establish a nonlinear sliding mode surface. Finally, a nonlinear sliding mode tracking controller with a constant-rate reaching law incorporating error bounds is designed. The proposed method improves the system's dynamic response and steady-state accuracy while enhancing its robustness under complex conditions. Simulation results demonstrate that this method effectively overcomes the shortcomings of traditional control approaches, providing a novel solution for optimizing wind power generation systems.
AB - To address the limitations of traditional PID control, including slow response speed, susceptibility to overshoot, and poor robustness under rapid wind speed variations and system nonlinearity, this paper proposes an optimized control method for wind power generation systems based on nonlinear sliding mode control. First, a comprehensive model of the wind power generation system is constructed using wind speed, wind turbine, and generator models. Next, the maximum output power is defined, and the rotational angular velocity error of the wind turbine is derived to establish a nonlinear sliding mode surface. Finally, a nonlinear sliding mode tracking controller with a constant-rate reaching law incorporating error bounds is designed. The proposed method improves the system's dynamic response and steady-state accuracy while enhancing its robustness under complex conditions. Simulation results demonstrate that this method effectively overcomes the shortcomings of traditional control approaches, providing a novel solution for optimizing wind power generation systems.
KW - Nonlinear Sliding Mode Control
KW - Robustness Optimization
KW - Wind Power Generation
UR - http://www.scopus.com/inward/record.url?scp=105001242745&partnerID=8YFLogxK
U2 - 10.1109/SGEI63936.2024.10914307
DO - 10.1109/SGEI63936.2024.10914307
M3 - 会议稿件
AN - SCOPUS:105001242745
T3 - 2024 4th International Conference on Smart Grid and Energy Internet, SGEI 2024
SP - 468
EP - 471
BT - 2024 4th International Conference on Smart Grid and Energy Internet, SGEI 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Smart Grid and Energy Internet, SGEI 2024
Y2 - 13 December 2024 through 15 December 2024
ER -