Analytical modeling of electric drives for vehicle traction control systems - Publikacja - MOST Wiedzy

Wyszukiwarka

Analytical modeling of electric drives for vehicle traction control systems

Abstrakt

Wheel-torque control bandwidth in vehicle dynamics model is crucial in evaluating optimal tracking ability of tire slip and in analysis of control system stability. Electric drives’ control dynamics are influenced by timing of digital control events, e.g. by sampling instant of motor currents. Reflecting this timing in drive analytical models is therefore important for analysis of vehicle traction systems. The paper considers five various transfer-function models including issues of digital control events timing. The aim of the paper is to compare the accuracy of the models in representing dynamics of a Permanent Magnet Synchronous Motor (PMSM) drive. Bode characteristics of the analytical models are compared to these of a reference model. The comparison is made for three commonly used cases of PMSM current sampling. Applicability of presented models has been discussed and frameworks to use specific models have been indicated.

Cytowania

  • 1

    CrossRef

  • 0

    Web of Science

  • 2

    Scopus

Cytuj jako

Pełna treść

pełna treść publikacji nie jest dostępna w portalu

Słowa kluczowe

Informacje szczegółowe

Kategoria:
Aktywność konferencyjna
Typ:
materiały konferencyjne indeksowane w Web of Science
Tytuł wydania:
2016 Eleventh International Conference on Ecological Vehicles and Renewable Energies (EVER) strony 1 - 7
Język:
angielski
Rok wydania:
2016
Opis bibliograficzny:
Opaliński A., Jarzębowicz L..: Analytical modeling of electric drives for vehicle traction control systems, W: 2016 Eleventh International Conference on Ecological Vehicles and Renewable Energies (EVER), 2016, Monaco Sustainable Development,.
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1109/ever.2016.7476350
Weryfikacja:
Politechnika Gdańska

wyświetlono 155 razy

Publikacje, które mogą cię zainteresować

Meta Tagi