Parameter Identification of PMSM Based on Windowed Least Square Algorithm
In this paper, two least square algorithms, Recursive Least Square (RLS) and Windowed Least Square (WLS) are applied to identify the parameters varying with temperature of Permanent Magnet Synchronous Motor (PMSM). In order to compare the identification effects of the two algorithms, a PMSM model is built and simulated in MATLAB. And simulation results demonstrate that WLS guarantees better timeliness and rapidity.
S. Wang et al., "Parameter Identification of PMSM Based on Windowed Least Square Algorithm", Advanced Materials Research, Vols. 383-390, pp. 5940-5944, 2012