基于非线性干扰观测器的风电机组自适应反演滑模控制

Nonlinear disturbance observer based adaptive back-stepping sliding mode control for wind power generation system

为了提高风力发电系统最大功率跟踪控制的工作性能,根据大范围风速波动运行条件的特性,设计了一种基于非线性干扰观测器的自适应反演滑模控制器。针对风力机单质量动态模型中气动转矩不容易获取的特点,利用非线性干扰观测器进行气动转矩的实时估计。基于最佳转速法,设计了一阶滑模控制器和反演滑模控制器。结合不确定项的自适应控制,进一步抑制滑模控制器的输出抖振、平滑转矩输出。通过与传统PI控制和一阶滑模控制的仿真比较,验证了该文所述控制器的正确有效性。

In order to improve the maximum power point tracking（MPPT） performance of wind power generation system, a nonlinear disturbance observer based adaptive back-stepping sliding mode controller is proposed. The controller adopts the single mass dynamic model of the wind turbine and considers the wide range of wind speed fluctuation operating conditions. In view of the facts that the aerodynamic torque is not easy to be measured, the nonlinear disturbance observe technique is utilized to estimate the real-time aerodynamic torque. According to the MPPT optimal speed strategy, a first-order sliding mode controller（FOSMC） and an inversion sliding mode controller are designed.Combining with the adaptive control law of the uncertain term, the controller is able to further suppress the chattering amplitude and smooth the generator electromagnetic torque. Through the comparison of simulation experiments of traditional PI controller and the first-order sliding mode controller, the correctness and validity of the proposed controller has been verified.