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Nonlinear parameter estimation of steady-state induction machine models

机译:稳态感应电机模型的非线性参数估计

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摘要

The use of modern identification techniques in determining the values of the steady-state equivalent circuit parameters of a three-phase squirrel-cage induction machine is discussed. The identification procedure is based on the steady-state phase current versus slip and input power versus slip characteristics. The proposed identification algorithm is of a nonlinear kind. The machine parameters are obtained as the solution of a minimization of least-squares cost function of the difference between calculated and experimental steady-state characteristics. Simulation, as well as experimental results concerning the application of the proposed algorithm to the modeling of a 1.5 kW wound-rotor three-phase induction machine, are presented.
机译:讨论了现代识别技术在确定三相鼠笼式感应电机的稳态等效电路参数值中的应用。识别过程基于稳态相电流对滑差和输入功率对滑差特性。所提出的识别算法是非线性的。获得的机器参数是最小化最小二乘成本函数的解决方案,该函数最小化了计算出的稳态和实验稳态特性之间的差异。给出了仿真结果和实验结果,涉及所提出的算法在1.5 kW绕线转子三相感应电机建模中的应用。

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