Permanent-Magnet Machine-Based Starter-Generator System with Modulated Model Predictive Control

Seang Shen Yeoh, Tao Yang, Luca Tarisciotti, Christopher Ian Hill, Serhiy Bozhko, Pericle Zanchetta

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

72 Citas (Scopus)

Resumen

This paper describes a hybrid control scheme for a permanent magnet machine-based starter-generator (S/G) system. There has been increased usage of electric drive systems in the transportation sector for increased efficiency and reduced emissions. One of the advantages of utilizing suitable electric drives is the capability to operate as a starter or generator. The control design of such a system should be considered due to the operating requirements and fast load changes. Different control approaches should therefore be considered in order to achieve these goals, which are a current trend in the transportation sector. Model predictive control (MPC) is considered due to its very fast dynamic performance. In particular, modulated MPC (M2PC) was recently introduced and showed significantly better performance than the standard MPC. The control scheme used in this paper utilizes M2PC for the current inner loop and PI controllers for the outer loop. The use of M2PC allows very fast transient-current response for the S/G system. The proposed overall control benefits from reduced current ripple when compared with a full cascaded PI control scheme. Simulation analyzes and experimental results show the capability and performance of the designed controller across both starter and generator modes.

Idioma originalInglés
Número de artículo7990264
Páginas (desde-hasta)878-890
Número de páginas13
PublicaciónIEEE Transactions on Transportation Electrification
Volumen3
N.º4
DOI
EstadoPublicada - 1 dic. 2017

Áreas temáticas de ASJC Scopus

  • Ingeniería energética y tecnologías de la energía
  • Ingeniería automovilística
  • Ingeniería eléctrica y electrónica
  • Transporte

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