卡尔曼滤波算法控制异步电动机的仿真研究

The Simulation Research of Kalman Filtering Algorithm Applied to Control Asynchronous Motor

提出一种基于卡尔曼滤波算法的异步电动机控制方法。根据卡尔曼滤波理论建立观测器,对负载转矩进行实时观测,并利用观测值在系统中形成转矩前馈补偿,极大地提高了系统的动态性能和抗干扰能力。试验证明,该方法简单有效,可以显著提高系统的抗干扰能力和鲁棒性。

The paper proposes the asynchronous motor control method based on Kalman filter algorithm.Observation is established based on Kalman filtering theory.The load torque is observed in real-time.The observed values are used to form a torque feed-forward compensation in system.This method improves dynamic performance of the system and anti-jamming capability greatly.The test proves that this method is simple and effective,and it can improve the system＇s anti-interference ability and robustness significantly.