Busca avançada
Ano de início
Entree
(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

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

Texto completo
Autor(es):
de Paula, Marcelo Vinicius [1] ; Barros, Tarcio Andre dos Santos [1]
Número total de Autores: 2
Afiliação do(s) autor(es):
[1] Univ Estadual Campinas, Fac Mech Engn, BR-13083860 Campinas, SP - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS; v. 69, n. 1, p. 151-159, JAN 2022.
Citações Web of Science: 0
Resumo

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)

Processo FAPESP: 16/08645-9 - Pesquisas interdisciplinares em redes inteligentes de energia elétrica
Beneficiário:João Bosco Ribeiro do Val
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 17/21640-9 - Estudo e desenvolvimento de técnicas de controle e acionamento para utilização de máquinas elétricas de relutância variável em veículos elétricos.
Beneficiário:Tárcio André dos Santos Barros
Modalidade de apoio: Auxílio à Pesquisa - Regular