轮毂电机无位置传感器自适应预测控制

Adaptive Predictive Control of Wheel Hub Motor Without Position Sensor

为提高全电化装甲车轮毂永磁同步电机驱动系统的可靠性,针对经典有限集模型预测控制算法依赖电机参数及额外激励等问题,提出一种无参数依赖的自适应改进控制算法,算法将所有未建模干扰因素折算为等效总误差对经典模型进行改进,并通过等效总误差和总电感的在线估计,实现改进算法的自适应预测控制,缓解算法对参数的依赖,利用固有电流纹波激励实现位置观测器,避免额外高频信号注入的不利影响。实验结果表明,改进算法在电机不同工况和负载下能准确估计转子位置和初始磁极,不依赖电机参数仍取得较好的控制性能,验证了算法的有效性。

For improving reliability of the fully electric armored wheel hub motor drive system and in view of the problem of dependence of classical finite-control-set model predictive control algorithm on motor parameters and additional excitation,a kind of an adaptive improved control algorithm independence parameter is proposed.All unmolded interference factors are converted into equivalent total errors so to ach ieve the adaptive predictive control,ease the algorithm’s dependence on parameter through online estimation of the equivalent total error and total inductance,and achieve position observer by the use of inherent current ripple excitation and avoid unfavorable influence due to input of extra high frequency signal.It is shown by the experimental result that the proposed algorithm can accurately estimate the rotor position and initial magnetic pole under different working conditions and loads of the motor,the control performance is still obtained without relying on the motor parameters and the effectiveness of the proposed algorithm is verified.