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Disturbances Attenuation of Permanent Magnet Synchronous Motor Drives Using Cascaded Predictive-Integral-Resonant Controllers

机译:使用级联预测积分谐振控制器的永磁同步电动机驱动器的扰动衰减。

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摘要

The performance of a standard model predictive controller (MPC) is directly related to its predictive model. If there are unmodeled periodic disturbances in the actual system, MPC will be difficult to suppress the disturbances, thus causing fluctuations of system output. To solve this problem, this paper proposes an improved MPC named predictive-integral-resonant control (PIRC). Compared with the standard MPC, the proposed PIRC could enhance the suppression ability for disturbances by embedding the internal model composing of the integral and resonant loop. Furthermore, this paper applies the proposed PIRC to PMSM drives, and proposes the PMSM control strategy based on the cascaded PIRC, which could suppress periodic disturbances caused by the dead time effects, current sampling errors, and so on. The experimental results show that the PIRC can suppress periodic disturbances in the drive system, thus ensuring good current and speed performance. Meanwhile, the PIRC could maintain the excellent dynamic performance as the standard MPC.
机译:标准模型预测控制器(MPC)的性能与其预测模型直接相关。如果实际系统中存在无法建模的周期性干扰,则MPC将难以抑制干扰,从而导致系统输出波动。为了解决这个问题,本文提出了一种改进的MPC,称为预测积分共振控制(PIRC)。与标准MPC相比,所提出的PIRC通过嵌入由积分回路和谐振回路组成的内部模型,可以增强对干扰的抑制能力。此外,本文将提出的PIRC应用于PMSM驱动器,并提出了一种基于级联PIRC的PMSM控制策略,该策略可以抑制死区时间效应,电流采样误差等引起的周期性干扰。实验结果表明,PIRC可以抑制驱动系统中的周期性干扰,从而确保良好的电流和速度性能。同时,PIRC可以作为标准MPC保持出色的动态性能。

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