基于HOSMO的风电机组自适应超扭曲滑模控制

HOSMO based adaptive super twist sliding-mode control for wind turbine

为提高风力发电系统在风速随机变化、未知扰动输入的运行环境下的最大功率跟踪控制性能,提出一种基于高阶滑模观测器(high order sliding mode observer,HOSMO)的自适应超扭曲滑模控制策略.为增强风机系统的动态跟踪性能,设计超扭曲滑模控制器.为验证并提高该方法的控制性能,对超扭曲滑模控制器中的未知参数和系统的不确定性设计自适应控制律,更好地抑制了超扭曲控制器的抖振,增强了对模型参数和外部扰动不确定性的鲁棒性.同时针对风机系统动态模型中部分状态变量难以准确测量的问题,设计了HOSMO对其实时估计,该方法对高频噪声有很好的抑制作用.将提出的控制方法与一阶滑模控制以及传统比例积分控制进行对比分析,证明了所提策略的正确性和可行性.

In order to improve the maximum power tracking control performance of wind power system in the operating environment of wind speed random change and unknown disturbance input,we propose an adaptive super twist sliding mode control strategy based on high order sliding mode observer(HOSMO).Aiming at enhancing the dynamic tracking performance of the fan system,we design a super twist sliding mode controller.In order to improve the performance of the method,an adaptive control law is designed for the unknown parameters and system uncertainties in the super twist sliding mode controller,which can better suppress the chattering of the super twist controller and enhance the robustness to the model parameters and external disturbance uncertainties.At the same time,aiming at the problem which is difficult to measure some state variables accurately in the dynamic model of the fan system,we design a high-order sliding mode observer to estimate the real-time state variables,which has a good effect on suppressing the high-frequency noise.The correctness and feasibility of the proposed strategy are proved by comparing the proposed control method with the first-order sliding mode control and the traditional proportional integral control.