On the Sensorless PMSM Rotor Position Estimation Enhancement: Application of ADALINE-PLL - G2Elab-MADEA-Matériaux, Machines et Dispositifs Electromagnétiques Avancés
Communication Dans Un Congrès Année : 2023

On the Sensorless PMSM Rotor Position Estimation Enhancement: Application of ADALINE-PLL

Résumé

Considering the sensorless control of PMSM drives, a novel observer for improving the estimation perfomance is proposed in this paper. An Adaptive linear neuron (ADALINE)-based feed-forward harmonic compensation block is integrated into the classic PLL, which together form an ADALINE-PLL. Firstly, given a general input, the estimation error of a classic PLL is analytically investigated. It is shown that the estimation error contains several distinctive harmonics, which are related to the PLL non-linear structure and input harmonics. These harmonics are able to pass through the loop-filter and appear in the estimated phase and frequency as extra ripple. In light of the estimation error harmonics, the ADALINE-PLL is used for suppression of undesired harmonics. Secondly, the superior perfomance of ADALINE-PLL, compared to PLL, is verified through simulations in several different conditions. In case of acoustic noisebased or EMF-based PMSM sensorless control, the observer input signals contain several harmonics, which can easily distort the estimation performance if not properly repressed. As the result, the positive impact of ADALINE-PLL on the estimation performance is studied in details.
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Dates et versions

hal-04212173 , version 1 (20-09-2023)

Identifiants

  • HAL Id : hal-04212173 , version 1

Citer

Amirhossein Malekipour, Adrien Corne, Lauric Garbuio, Pierre Granjon, Laurent Gerbaud. On the Sensorless PMSM Rotor Position Estimation Enhancement: Application of ADALINE-PLL. EPE’23 ECCE-Europe 2023 - The 25th Conference on power Electronics and Applications, Sep 2023, Aalborg, Denmark. ⟨hal-04212173⟩
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