A fast online full parameter estimation of a PMSM with sinusoidal signal injection
作者： Qian Liu , Kay Hameyer
DOI: 10.1109/ECCE.2015.7310237
关键词:
摘要: In this paper, a fast online parameter estimation scheme with sinusoidal d-axis current injection is introduced. Compared to the existing strategies, proposed has relative faster convergence time and feasible in transient operation. This realized by recursive least square algorithm based on different operating points of Permanent Magnet Synchronous Machine (PMSM). With scheme, four parameters PMSM can be simultaneously estimated online. The derivatives d- q-axis currents are considered so that it both steady state sampling principle discussed avoid rank deficient problem for estimation. An averaged sliding window introduced minimize error from A/D conversion reduce influence measurement noise. validated experimental results compared wave injection.
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