基于自适应算法的IPMSM无速度传感器研究

针对电动汽车中电机的速度传感器成本高,安装繁琐,受复杂工况影响,提出将电流模型自适应算法应用于内置式永磁同步电机(IPMSM)转速和位置的估算,以替代机械式速度传感器。在传统的模型参考自适应基础上加入滑模变结构控制,以取代PI控制器;设计软开关函数替代符号开关函数,以减小滑模变结构控制造成的系统抖动。仿真试验表明,在加有负载扰动情况下和速度突变情况下,使用新型变结构模型参考自适应(SM-MRAS)估算的转速较传统模型参考自适应的抗干扰性能力更好,系统的鲁棒性更强。

Research on IPMSM Speed Sensorless Based on Adaptive Algorithm

In view of the high cost,tedious installation and complicated working conditions of the speed sensor of the motor in electric vehicles,the current model adaptive algorithm is proposed to estimate the speed and position of the interior permanent magnet synchronous motor(IPMSM),so as to replace the mechanical speed sensor. Based on the traditional model reference adaptive control,the sliding mode variable structure control is added to replace the PI controller. The soft switch function is designed to replace the symbolic switch function in order to reduce the jitter caused by the sliding mode variable structure control. The simulation results show that the new model reference adaptive(SM-MRAS) has better anti-interference ability and stronger system robustness than the traditional model reference adaptive.