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上海电力学院学报:2019,35(6):-
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基于鲁棒状态估计的永磁风电系统最大功率控制
韩云昊, 方基泽, 杨慧霞, 米阳
(上海电力学院)
The MPPT Control of Direct driven wind turbine with Permanent Magnet Synchronous Generator based on Sliding Mode State Estimate value
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投稿时间:2019-06-14    修订日期:2019-09-04
中文摘要: 为了提高传统风能最大功率跟踪控制的鲁棒性,提出新的滑模自适应最大功率跟踪控制策略。由于实际无速度传感器的风电系统变量难以测量,为此构造滑模状态观测器,估计系统转速跟踪误差,基于估计值设计了滑模自适应最大功率跟踪控制器。最后,基于MATLAB/Simulink仿真平台搭建了完整的风电系统仿真模型,仿真结果表明,所提出的控制策略在不同风速扰动作用下能实现良好的跟踪和控制效果,提高了风电系统的鲁棒性,保证了风电系统的最大功率输出。
Abstract:A new Maximum Power Point Tracking control strategy based on sliding mode adaptive control is put forward to improve the robustness of traditional MPPT control in the wind power system. As the variable is difficult to measure in the wind power system without speed sensor, the sliding mode state observer is designed. The observer is used to estimate the rotate speed error and the sliding mode adaptive controller is constructed based on the observer value. In the end, the simulation model is built based on the MALAB/Simulink platform. The simulation results show that the proposed control strategy can achieve good tracking and control effect under the different wind speed disturbance, improve the robustness of wind power system and ensure the maximum power output of wind power system.
文章编号:     中图分类号:TM76    文献标志码:
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  yunhaoh@126.com 
   
   
  miyangmi@163.com 
引用文本:
韩云昊,方基泽,杨慧霞,等.基于鲁棒状态估计的永磁风电系统最大功率控制[J].上海电力学院学报,2019,35(6):.
,et al.The MPPT Control of Direct driven wind turbine with Permanent Magnet Synchronous Generator based on Sliding Mode State Estimate value[J].Journal of Shanghai University of Electric Power,2019,35(6):.