基于高阶滑模观测器的风机改进反演滑模控制

针对风电机组风速波动幅度大、发电机转矩抖振大、功率无法平滑输出等问题,同时考虑风电机组中部分状态参数难以准确测量的问题,设计一种基于高阶滑模观测器的改进反演滑模控制策略。通过在反演设计中引进积分项来实现系统的有效控制和全局调节。采用高阶滑模观测器来实现时估计系统的状态,避免了直接测量会引入高频噪声的问题,使系统在外界扰动干扰的情况下具有较强的鲁棒性。为了验证算法的优越性在MATLAB中进行控制器仿真实验。最后通过仿真证明了所提方法的正确性,可行性。

Improved backstepping Sliding Mode Control of Wind turbine Based on High Order Sliding Mode Observer

Aiming at the problems such as large fluctuation of wind speed, high chattering of generator torque, and unsmooth output of power of wind turbine, and the difficulty of accurate measurement of some state parameters in wind turbine, an improved inverse sliding mode control strategy based on high order sliding mode observer was designed. The effective control and global adjustment of the system are realized by introducing integral term in the inversion design. The high order sliding mode observer was used to estimate the state of the system, which avoids the problem that high frequency noise will be introduced in the direct measurement, and makes the system have strong robustness in the case of external disturbance. In order to verify the superiority of the algorithm, the controller simulation experiment was carried out in MATLAB. Finally, the correctness and feasibility of the proposed method are proved by simulation.