Interval Type-2 Fuzzy Logic-Second Order Sliding Mode Based Fault Detection and Active Fault-Tolerant Control of Brushless DC Motor
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Date
2021
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Abstract
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
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Keywords
brushless DC motor, active fault-tolerant control (AFTC), interval type-2 fuzzy logic, second order sliding mode, direct current mode, fault detection