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

电流耦合效应在内置式永磁同步电机的弱磁高速运行中尤为突出,造成了较大的电流跟踪误差,导致转矩输出性能变坏。提出基于电感辨识的电流解耦算法,采用带遗忘因子的递推最小二乘法对电感参数进行在线辨识,并将辨识的结果应用到基于电压前馈补偿的电流解耦算法中,既实现了电流的完全解耦,也提高了系统对电感参数变化的鲁棒性。仿真和实验结果表明,所提算法在弱磁区能够获得较好的电流控制效果,使实际电流能快速准确地跟踪给定电流,提高了转矩输出能力,增强了系统的动态性能。

Current Decoupling Algorithm Based on Inductance Identification in the Application of Interior Permanent Magnet Synchronous Motor Flux-Weakening Control

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.