【摘要】 针对水下推进器在运行过程中,永磁同步电机的定子电阻、电感等参数会受到温度、电流变化而导致的无位置控制算法估算转子位置和速度出现较大误差的问题,提出了一种基于参数辨识的龙伯格观测器水下推进器无位置传感器控制方法。该方法在双闭环矢量控制的基础上,采用带遗忘因子的递推最小二乘法作为参数辨识算法,通过在线辨识得到电机定子电阻和电感参数,将其取代龙伯格观测器模型中的初始电阻和电感参数,龙伯格观测器估算得到的反电动势作为锁相环的输入,最终,由锁相环输出得到转子的位置和速度。仿真结果表明,基于参数辨识的龙伯格观测器在受到参数变化干扰后,能快速准确地辨识出转子位置和速度信息,降低了无位置控制系统对电机参数的敏感性。更多还原

【Abstract】 In the operation of an underwater propeller, parameters of the permanent magnet synchronous motor(PMSM), such as stator resistance and inductance, are changed based on the temperature and current, resulting in a large error of the rotor position and speed, which are estimated by a sensorless control algorithm. In this paper, a sensorless control method is proposed to control an underwater propeller based on the Luenberger observer combined with parameter identification. In this method, based on a double closed-loop vector control strategy, recurrence least square(RLS) combined with a forgetting factor is adopted as an online parameter identification algorithm to evaluate the stator resistance and motor inductance. The initial resistance and inductance parameters in the Luenberger observer model are thereafter replaced using the same algorithm. The back electromotive force estimated through the Luenberger observer is used as the input of the phase-locked loop. Finally, the position and speed of the rotor are obtained from the output of the phase-locked loop. The simulation results show that the rotor position and speed can be rapidly and accurately identified by Luenberger observer when this parameter identification technique, which reduces the sensitivity of motor parameters on sensorless control system, is used.更多还原