首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Parameter Estimation of Induction Machine at Standstill Using Two-Stage Recursive Least Squares Method
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Parameter Estimation of Induction Machine at Standstill Using Two-Stage Recursive Least Squares Method

机译:基于两阶段递推最小二乘方法的异步电机静止状态参数估计

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This paper presents a two-stage recursive least squares (TSRLS) algorithm for the electric parameter estimation of the induction machine (IM) at standstill. The basic idea of this novel algorithm is to decouple an identifying system into two subsystems by using decomposition technique and identify the parameters of each subsystem, respectively. The TSRLS is an effective implementation of the recursive least squares (RLS). Compared with the conventional (RLS) algorithm, the TSRLS reduces the number of arithmetic operations. Experimental results verify the effectiveness of the proposed TSRLS algorithm for parameter estimation of IMs.
机译:本文提出了一种两阶段递归最小二乘(TSRLS)算法,用于估算静止状态下的感应电机(IM)的电参数。这种新颖算法的基本思想是通过使用分解技术将识别系统分解为两个子系统,并分别识别每个子系统的参数。 TSRLS是递归最小二乘(RLS)的有效实现。与常规(RLS)算法相比,TSRLS减少了算术运算的数量。实验结果验证了所提出的TSRLS算法对IM参数估计的有效性。

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