Maximum power point tracking control with active disturbance rejection controller based on the best tip speed ratio

被引：0
作者：
Li, Juan [1 ]
Zhang, Ke-Zhao [1 ]
Li, Sheng-Quan [1 ,2 ]
Liu, Chao [2 ]
机构：
[1] School of Hydraulic, Energy and Power Engineering, Yangzhou University, Yangzhou
[2] Jiangsu Province Key Laboratory of Hydrodynamic Engineering, Yangzhou University, Yangzhou
来源：
Dianji yu Kongzhi Xuebao/Electric Machines and Control | 2015年 / 19卷 / 12期
关键词：
Active disturbance rejection controller; Disturbance compensation; Maximum power point tracking; Permanent magnet synchronous wind power generation; The best tip speed ratio;
D O I：
10.15938/j.emc.2015.12.014
中图分类号：
学科分类号：
摘要：
Considering the permanent magnet synchronous wind generator system with uncertainties, multi interferences and low efficiency, a maximum power point tracking with active disturbance rejection control strategy based on the best tip speed ratio was proposed to track the motor speed real time and to capture the maximum power. The active disturbance rejection controller does not depend on the mathematical model of the system. The uncertainties including nonlinear, strong coupling, parameter variations and external disturbances wer lumped to the total disturbances of system, which affect the tracking speed in real time. The extended state observer estimates the total disturbances, and then compensates them through the feedback controller, which improves the speed tracking ability. Simulation results show that, compared with the traditional PI control method, the proposed control strategy not only guarantees the system to achieve maximum power output, but also has strong robustness against uncertain dynamics and external disturbances. © 2015, Editorial Department of Electric Machines and Control. All right reserved.
引用
收藏
页码：94 / 100and106
相关论文
共 22 条
  • [1] Zaragoza J., Pou J., Arias A., Et al., Study and experimental verification of control tuning strategies in a variable speed wind energy conversion system, Renewable Energy, 36, 5, pp. 1421-1430, (2011)
  • [2] Lin W., Hong C., Cheng F., On-line designed hybrid controller with adaptive observer for variable-speed wind generation system, Energy, 35, 7, pp. 3022-3030, (2010)
  • [3] Sloth C., Esbensen T., Stoustrup J., Robust and fault-tolerant linear parameter-varying control of wind turbines, Mechatronics, 21, 4, pp. 645-659, (2011)
  • [4] Hamane B., Benghanem M., Mbouzid A., Et al., Control for variable speed wind turbine driving a doubly fed induction generator using Fuzzy-PI control, Energy Procedia, 18, 4, pp. 476-485, (2012)
  • [5] Lin W.-M., Hong C.-M., Ou T., Et al., Hybrid intelligent control of PMSG wind generation system using pitch angle control with RBFN, Energy Conversion and Management, 52, 2, pp. 1244-1251, (2011)
  • [6] Ei Magri A., Giri F., Besancon G., Et al., Sensor less adaptive output feedback control of wind energy systems with PMS generators, Control Engineering Practice, 21, 4, pp. 530-543, (2013)
  • [7] Zheng Q., Dong L., Gao Z., Et al., Active disturbance rejection control for MEMS gyroscopes, IEEE Transactions on Control Systems Technology, 17, 6, pp. 1432-1438, (2009)
  • [8] Zheng Q., Gao Z., Predictive active disturbance rejection control for process with time delay, ISA Transactions, 53, 4, pp. 873-881, (2014)
  • [9] Xia Y., Chen R., Pu F., Et al., Active disturbance rejection control for drag tracking in mars entry guidance, Advances in Space Research, 53, 5, pp. 853-861, (2014)
  • [10] Gao Z., Scaling and bandwidth parameterization based controller tuning, Proceedings of the American Control Conference, pp. 4989-4996, (2003)
123