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基于能量转换最优化和减小机械结构的疲劳负荷的要求,针对低功率刚性传动链双馈感应发电机风能转换系统,分析风力发电系统的工作原理,建立为实现控制目标所需的数学模型,提出了一种双频环滑模预测优化控制方法。该方法采用双频环多目标结构,低频环引入基于ARMA模型预测后的风速低频分量,采用PI控制对应于最优叶尖速度以保证其工作点运行在最优控制特性曲线上;高频环引入风速的湍流分量,为了避免滑模控制高频切换带来的抖振现象,将预测控制与滑模控制相结合实现系统的动态优化。仿真结果表明:双频环滑模预测控制有效避免了不确定性对系统的影响,实现了部分负荷状态下的最优控制特性跟踪,减少了控制输入量的变化量,降低了机械疲劳,保证了系统的优化稳定运行,提高了能源利用效率。
Based on the energy conversion optimization and the requirement of reducing the fatigue load of the mechanical structure, aiming at the wind energy conversion system of the doubly-fed induction generator with low power rigid transmission chain, the working principle of the wind power generation system is analyzed and the mathematical model required to achieve the control objective is established. A dual-frequency loop sliding mode predictive optimization control method is proposed. The proposed method adopts a dual-band multi-target structure. The low-frequency loop introduces the low-frequency component of wind speed predicted by the ARMA model. The PI control corresponds to the optimal tip speed to ensure that its operating point runs on the optimal control characteristic curve. In order to avoid the chattering caused by the sliding mode control of high frequency switching, the predictive control and sliding mode control are combined to realize the dynamic optimization of the system. The simulation results show that the dual-frequency loop sliding mode predictive control can effectively avoid the influence of the uncertainty on the system and achieve the optimal control characteristic tracking under partial load condition, reducing the variation of control input, reducing the mechanical fatigue, ensuring Optimized and stable operation of the system, improve energy efficiency.