船舶永磁同步电机在线惯量辨识研究

Research on on-line inertia identification of marine permanent magnet synchronous motor

针对船舶永磁同步电机推进系统的转动惯量和负载转矩存在扰动的问题,提出基于梯度校正法与扩展卡尔曼滤波器结合的在线惯量辨识算法,采用梯度校正法对转动惯量进行辨识,利用扩展卡尔曼滤波器观测负载转矩,辨识的惯量值对滤波器的系数矩阵进行修正,同时观测的负载转矩作为梯度校正法的输入参数以及作为电流环的前馈补偿。仿真和实验验证了惯量辨识算法的可行性,以及系统对于负载转矩变化的抗扰动性能。

The moment of inertia and load torque of Marine permanent magnet synchronous motor propulsion system are disturbed.To solve the above problems,an online inertia identification algorithm based on the combination of gradient correction method and extended Kalman filter is proposed.The gradient correction method is used to identify the moment of inertia,and the extended Kalman filter is used to observe the load torque,and the identified inertia value is used to correct the coefficient matrix of the filter.The observed load torque is used as input parameter of gradient correction method and feed-forward compensation of current loop.Simulation and experiments verify the feasibility of the inertia identification al-gorithm and the anti-disturbance performance of the system for load torque variation.