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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A Sliding Mode DITC Cruise Control for SRM With Steepest Descent Minimum Torque Ripple Point Tracking

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Author(s):
de Paula, Marcelo Vinicius [1] ; Barros, Tarcio Andre dos Santos [1]
Total Authors: 2
Affiliation:
[1] Univ Estadual Campinas, Fac Mech Engn, BR-13083860 Campinas, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS; v. 69, n. 1, p. 151-159, JAN 2022.
Web of Science Citations: 0
Abstract

Switched reluctance motors are frequently quoted for electric and hybrid electric vehicle traction. However, high torque ripple is a common restraining disadvantage. This article proposes a design method for model following sliding mode as cruise controller, considering a direct instantaneous torque controller as part of the controlled plant. In addition, a back-electromotive force cancelation is incorporated by modifying the torque reference using the developed model. A minimum torque ripple point tracking (MTRPT) that actuates over the turn-off angle is proposed through an adaptation from the steepest descent maximum power point tracking algorithm. The turn-on angle is also controlled, aiming for enhanced torque regulation. The cruise controller is Lyapunov stable, robust to parameter variations, and is capable of rejecting load disturbances. Experimental results show that the MTRPT convergence time is around 2.5 s for a load step and around 1.625 s for a speed step. Besides, the speed tracking capability of the proposed system returns an MAE of 0.9223% and 1.0884% for the ECE-R15 and for the EUDC driving schedules, respectively. The MTRPT is capable of reducing the torque ripple by 14.6% in low speeds (ECE-R15) and by 10.1% at high speeds (EUDC). The results show that the proposed system is well founded for electric and hybrid electric vehicles applications. (AU)

FAPESP's process: 16/08645-9 - Interdisciplinary research activities in electric smart grids
Grantee:João Bosco Ribeiro do Val
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 17/21640-9 - Study and development of control and drive techniques for the use of switched reluctance machines in electric vehicles.
Grantee:Tárcio André dos Santos Barros
Support Opportunities: Regular Research Grants