A Back-EMF Estimation Method for a Switched Reluctance Motor using Model Predictive Control

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

Pereira, M (Author) Other; Melo, P (Author) Other; Rui Esteves Araújo (Author) FEUP

Conference proceedings International

Title: 2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings

17th IEEE Vehicle Power and Propulsion Conference, VPPC 2020

18 November 2020 through 16 December 2020

Indexing

ISI Web of Knowledge - 0 Citations

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Other information

Authenticus ID: P-00T-MH1

DOI: 10.1109/vppc49601.2020.9330907

Abstract (EN): Switched reluctance machines are simple, robust, fault-tolerant and do not use permanent magnets, which makes them a strung candidate fur vehicular propulsion. Despites the advantages they still stiffer from high torque pulsation and acoustic noise, which can be reduced by the controller. In this paper the concern is in having an advanced current control, so it is used the model predictive control (MPC). This requires an accurate model to estimate the future behavior of current and the back-electromotive force (emf) signal is essential. As this signal cannot be directly calculated or measured it is proposed a new algorithm to calculate its estimation in real time. The algorithm is easy to implement and the numerical results show the accuracy of the method, which permits a very low current estimation error in the MPC framework.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5