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中文摘要：
永磁同步电机具有响应快、高精度、高转矩比等诸多优点，针对电机参数经典辨识理论往往建立在输入输出同一采样频率下。而电机控制系统本身具有多采样率性特性，结合多项式变化技术，推导得基于电流和电压的永磁同步电机双率采样数学模型，并采用双率递推最小二乘算法（DR—RLS）对其参数进行辨识。仿真实验结果表明，DR—RLS算法对变换后的双率采样数据模型参数一致收敛，但因某些参数项对系统的非敏感性，其收敛速度不如其他参数项。
英文摘要：
Permanent magnet synchronous motor（PMSM） has some excellent features, such as fast response, better accuracy, high torque to current ratio and meanwhile simplification. To the parameters identification PMSM, the input and out- put data was sampled at the same rate in classic identification theory. Otherwise PMSM control system has multi-rate sampiing characteristic in itself, and the dual-rate mathematical model of PMSM was induced with polynomial transformation technique. Dual-rate recursive least squares（DR-RLS） was proposed and used to the parameters identification. Simulation results show that DR-RLS is uniformly convergence for the exchange parameters of dual-rate sampling system. Because of non-sensitive, the convergence speed of some parameters was slower than others.
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