Interval Type-2 Fuzzy Logic-Second Order Sliding Mode Based Fault Detection and Active Fault-Tolerant Control of Brushless DC Motor

Izzeddine Dilmi , Abderrahmen Bouguerra , Ali Djrioui , Larbi Chrifi-Alaoui (1)

1 LTI - Laboratoire des technologies innovantes - UR UPJV 3899

This paper addresses the detection of the short-circuit faults and the active fault tolerant control (AFTC) of the brushless direct current motor (BLDCM) based on the interval type-2 fuzzy-second order sliding mode. In this article, the main idea consists of using an algorithm to detect the fault in an electric current. This algorithm corrects the detected fault. In this study, a hybrid technique of fault tolerant control is proposed. This technique based on interval type 2 fuzzy logic and second order sliding mode. Also, it facilitates the procedures for setting and controlling the velocity of BLDCM. For that, a dynamic model for direct current has been established. Furthermore, short circuit faults have also been introduced between turns to test the robustness of the control laws. Finally, a theoretical analysis is presented and the simulations are presented in order to validate the proposed control strategy. The proposed AFTC can then achieve favorable tracking performance.

Mots clés: brushless DC motor; active fault-tolerant control (AFTC); interval type-2 fuzzy logic; second order sliding mode; direct current mode; fault detection

Domaines: Sciences de l'ingénieur [physics]

Izzeddine Dilmi, Abderrahmen Bouguerra, Ali Djrioui, Larbi Chrifi-Alaoui. Interval Type-2 Fuzzy Logic-Second Order Sliding Mode Based Fault Detection and Active Fault-Tolerant Control of Brushless DC Motor. Journal Européen des Systèmes Automatisés (JESA), 2021, 54, pp.475 - 485. ⟨10.18280/jesa.540311⟩. ⟨hal-03850002⟩