基于鲁棒迭代学习控制的永磁同步电机转矩脉动抑制

发布时间：2018-06-24 00:47

本文选题：永磁同步电机 + 迭代学习控制　；参考：《光学精密工程》2017年10期

【摘要】：为了提高永磁同步电机转速伺服系统的性能,抑制转矩脉动对控制系统的影响,提出了滑模控制与迭代学习控制相结合的鲁棒迭代学习控制方法(RILC)。设计了迭代学习控制器抑制周期性转矩脉动,提出了滑模控制器提高系统的抗扰动性能,保证系统强鲁棒性及响应快速性。实验结果显示,电机以900r/min的速度运行时,采用鲁棒迭代学习控制可将速度脉动6次谐波幅值由0.89降低到0.56;加入0.5N·m的负载扰动后,转速波动最大值为22r/min,比PI-迭代学习控制法得到的值减小了1.8%。电机以60r/min运行时,采用鲁棒迭代学习控制可将速度脉动6次谐波幅值由4.87降低到0.45;加入0.5N·m的负载扰动的,转速波动最大值为24r/min,比PI-迭代学习控制法得到的值减小了23%。得到的结果表明,鲁棒迭代学习控制方法可有效抑制转矩脉动,同时可提高永磁同步电机转速伺服系统的鲁棒性和动态响应性能。
[Abstract]:In order to improve the performance of the speed servo system of PMSM and suppress the effect of torque ripple on the control system, a robust iterative learning control (RILC) method combining sliding mode control and iterative learning control is proposed. An iterative learning controller is designed to suppress periodic torque ripple, and a sliding mode controller is proposed to improve the anti-disturbance performance of the system and ensure the strong robustness and fast response of the system. The experimental results show that when the motor is running at the speed of 900r/min, the amplitude of the sixth harmonic wave can be reduced from 0.89 to 0.56 by using robust iterative learning control. The maximum speed fluctuation is 22 r / min, which is 1.8% lower than that obtained by PI- iterative learning control method. When the motor is running with 60r/min, the amplitude of the sixth harmonic wave can be reduced from 4.87 to 0.45 by using robust iterative learning control, and the maximum speed fluctuation of the motor with 0.5 N m load disturbance is 24 r / min, which is 23 times less than the value obtained by the PI- iterative learning control method. The results show that the robust iterative learning control method can effectively suppress torque ripple and improve the robustness and dynamic response of PMSM speed servo system.
【作者单位】：中国科学院长春光学精密机械与物理研究所;中国科学院大学;
【基金】：国家自然科学基金青年基金资助项目(No.11603024)
【分类号】：TM341

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