Second-order sliding mode based sensor fault-tolerant control of induction motor drives

2015 ◽  
Author(s):  
Suneel K. Kommuri ◽  
Kalyana C. Veluvolu ◽  
M. Defoort
Keyword(s):  
Induction Motor ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Fault Tolerant Control ◽  
Motor Drives ◽  
Second Order ◽  
Sensor Fault ◽  
Induction Motor Drives ◽  
Second Order Sliding Mode

Fault-tolerant control of Y-connected three-phase induction motor drives without speed measurement

Measurement ◽  
2020 ◽  
Vol 149 ◽  
pp. 106993 ◽  
Author(s):  
Mehdi Nikpayam ◽  
Mahmood Ghanbari ◽  
Abdolreza Esmaeli ◽  
Mohammad Jannati
Keyword(s):  
Induction Motor ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Motor Drives ◽  
Induction Motor Drives ◽  
Speed Measurement ◽  
Three Phase

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

2021 ◽  
Vol 54 (3) ◽  
pp. 475-485
Author(s):  
Izzeddine Dilmi ◽  
Abderrahmen Bouguerra ◽  
Ali Djrioui ◽  
Larbi Chrifi-Alaoui
Keyword(s):  
Fuzzy Logic ◽  
Active Fault ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Short Circuit ◽  
Fault Tolerant Control ◽  
Second Order ◽  
Interval Type ◽  
Second Order Sliding Mode

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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