基于分数阶MARS无传感器PMSM迭代学习控制

Iterative Learning Control of PMSM Based on Fractional MARS Sensorless

为实现永磁同步电机(PMSM)控制器速度估算的准确性及调速的精确性,首先设计新型分数阶模型参考自适应速度观测器。相比整数阶观测器,该策略增强控制器的可调自由度,改善观测器的精度,结合Popov超稳定性理论保证观测器的稳定性。在电流环设计一种增加辅助反馈项的新型PD迭代学习控制(PD-ILC),结合Lebesgue-p范数对系统误差进行分析,通过合理配置增益能改善系统收敛性;最后实现无速度传感器转速控制。仿真和实验表明,该策略能实现期望转速的精确跟踪,减小转矩脉动,具有良好的动态性能和静态性能。

In order to realize the speed estimation and speed regulation of the permanent magnet synchronous motor(PMSM)controller,a new type of fractional-order model reference adaptive speed observer was designed.Compared with integer-order observers,this strategy enhanced the adjustable degrees of freedom of the controller and improved the accuracy of the observer.Using the Popov superstability theory to ensure the stability of the observer.In the current loop,a new type of PD iterative learning control(PD-ILC)with additional auxiliary feedback items was designed,combin with Lebesgue-p norm to analyze the system error,and the system convergence can be improved by reasonable configuration of the gain.Finally,the speed with speed sensorless control was realized.Simulations and experiments show that this strategy can achieve accurate tracking of the desired speed,reduce torque ripple,and has good dynamic and static performance.