Current Decoupling Algorithm Based on Inductance Identification in the Application of Interior Permanent Magnet Synchronous Motor Flux-Weakening Control
Liu Dongliang1, 2, Ren Jinsong1, Lin Weijie1, 2, Xu Zhenghua1
1. School of Automation Hangzhou Dianzi University Hangzhou 310018 China; 2. Wolong Electric Group Co. Ltd Shangyu 312300 China
Abstract：Current coupling effect is obvious when interior permanent magnet synchronous motor (IPMSM) runs at high speed in the flux-weakening area, which leads to big current tracking error and poor performance of torque output. A current decoupling algorithm based on inductance identification was proposed. The algorithm adopted recursive least square method with forgetting factor to identify the inductance parameters. Then the identified parameters were applied to the current decoupling algorithm based on voltage feed-forward compensation. It not only realized the current decoupling control, but also improved system robustness to inductance parameter perturbation. Simulation and experimental results demonstrate that the algorithm proposed can achieve better current control effect in flux-weakening area. It means the actual current can rapidly and accurately track the given current. As a result, the torque output is increased, and the system dynamic performance is improved.
刘栋良, 任劲松, 林伟杰, 徐正华. 基于电感辨识的电流解耦算法在内置式永磁同步电机弱磁控制中的应用[J]. 电工技术学报, 2017, 32(16): 98-105.
Liu Dongliang, Ren Jinsong, Lin Weijie, Xu Zhenghua. Current Decoupling Algorithm Based on Inductance Identification in the Application of Interior Permanent Magnet Synchronous Motor Flux-Weakening Control. Transactions of China Electrotechnical Society, 2017, 32(16): 98-105.
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