This paper investigates the performances of speed-controlled motor drives using non-model-based speed estimation algorithms. A suitable modelling of the speed estimation algorithms combined to the analytical representation of the instantaneous quantized speed of finite resolution position sensors are exploited to evaluate the filtering action of the estimation algorithms, and the stability and rejection to torque disturbances of speed-controlled drives at low rotational speeds; the last operating condition is very critical for motor drives, especially for that using low resolution position sensors. In this study, the theoretical analysis is experimentally validated on a 2kW PMSM drive.
Performances analysis of non-model-based speed estimation algorithms for motor drives / Turrisi, G.; Tornello, L. D.; Scelba, G.; De Donato, G.; Scarcella, G.. - (2022), pp. 1-11. (Intervento presentato al convegno 2022 24th European Conference on Power Electronics and Applications (EPE'22 ECCE Europe) tenutosi a Hannover; Germany).
Performances analysis of non-model-based speed estimation algorithms for motor drives
De Donato G.;
2022
Abstract
This paper investigates the performances of speed-controlled motor drives using non-model-based speed estimation algorithms. A suitable modelling of the speed estimation algorithms combined to the analytical representation of the instantaneous quantized speed of finite resolution position sensors are exploited to evaluate the filtering action of the estimation algorithms, and the stability and rejection to torque disturbances of speed-controlled drives at low rotational speeds; the last operating condition is very critical for motor drives, especially for that using low resolution position sensors. In this study, the theoretical analysis is experimentally validated on a 2kW PMSM drive.File | Dimensione | Formato | |
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