Open AccessInterval Type-2 Fuzzy Logic-Second Order Sliding Mode Based Fault Detection and Active Fault-Tolerant Control of Brushless DC Motor
Author(s) -
Izzeddine Dilmi,
Abderrahmen Bouguerra,
Ali Djrioui,
Larbi ChrifiAlaoui
Publication year - 2021
Publication title -
journal européen des systèmes automatisés/journal européen des systèmes automaitsés
Language(s) - English
Resource type - Journals
eISSN - 2116-7087
pISSN - 1269-6935
DOI - 10.18280/jesa.540311
Subject(s) - control theory (sociology) , robustness (evolution) , fuzzy logic , fault tolerance , computer science , fault detection and isolation , dc motor , interval (graph theory) , fault (geology) , sliding mode control , control engineering , engineering , mathematics , control (management) , nonlinear system , artificial intelligence , physics , actuator , distributed computing , biochemistry , chemistry , combinatorics , quantum mechanics , seismology , geology , electrical engineering , gene
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.