Comparison on behavior of different faults in fuzzy logic and PID controlled switched reluctance motor drives

Saha, Nutan; Choudhury, D. S.; Rath, Subhrajit; Panda, Sidhartha

doi:10.1109/ccintels.2016.7878222

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Fuzzy logic control is suitable for dealing with the system with high nonlinearity by fuzzification and defuzzification processes. Compared with the PID control method for SRM drives, fuzzy logic control schemes exhibit better speed dynamic response and lower torque ripple in the faulty case [77]. Fuzzy logic systems (FLSs) with adaptive tracking ability is derived for sensor faults and Lyapunov functions are adopted to analyze the system stability [78].…”

Section: ) Fuzzy Logic Controlmentioning

confidence: 99%

An Overview of Fault-Diagnosis and Fault-Tolerance Techniques for Switched Reluctance Machine Systems

Gan

Chen

et al. 2019

IEEE Access

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This paper presents a technical overview for fault diagnosis and fault-tolerant strategies of switched reluctance machine (SRM) systems. With the widespread utilization of electrical motors, stability and reliability become the most important considerations for safety. SRMs are famous for their great robustness, wide speed range, and high fault-tolerant capability, which are much suitable for high-speed and safety-critical applications. Although the SRM drive have some fault tolerance ability, the fault still seriously affects the system performance. The faults happening in different parts, such as converter, motor winding, sensors, and rotor, may lead to low torque, large torque ripple, overcurrent, insulation damage, and even system broken-down, without any fault-tolerant consideration. Therefore, it is important and urgent to improve the motor system reliability and robustness for SRM drives. Aiming at offering novel solutions to the faults in SRM drives, this paper begins with mathematical modeling of the SRM, and then concentrates on the state-of-art fault diagnosis and fault tolerance techniques to enhance the fault ride-through ability. Two categories, containing fault diagnosis and fault tolerance technologies are emphasized for fast faults locating and stable post-fault operation. Advanced technologies are reviewed, classified, and compared comprehensively. Besides, several fault diagnosis and tolerance schemes that have been developed by authors are presented and discussed as well. Finally, the research status and outlooks on this topic are put forward. It is our target to offer a global vision on fault-related strategies and bring out promising ideas about fault-related techniques in SRM drives. INDEX TERMS Switched reluctance motor (SRM), fault diagnosis and fault tolerance strategies.

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Section: ) Fuzzy Logic Controlmentioning

confidence: 99%

An Overview of Fault-Diagnosis and Fault-Tolerance Techniques for Switched Reluctance Machine Systems

Gan

Chen

et al. 2019

IEEE Access

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“…Despite its robustness and high reliability, the VRM is subject to several faults that can affect the mechanical, electrical and control parts or possibly combined faults [7,8]. The VRM is exposed to various and varied faults such as: static and dynamic eccentricity [9], short-circuit fault between turns and shortcircuit between phases, bearing faults, etc.…”

Section: Introductionmentioning

confidence: 99%

A combined variable reluctance network-finite element VR machine modeling for stator inter-turn short-circuit diagnosis

Chehda¹,

Benouzza²,

Bendiabdellah³

et al. 2020

IJECE

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<span lang="EN-US">The work presented in this paper, proposes a comparison study between the network variable reluctance (NVR) model and the finite elements (FE) model intended for the diagnosis of stator inter-turn short-circuit (ITSC) of the variable reluctance machine (VRM). In the first place, the model of the VRM by the NRV is presented. To validate this model, the FE model of the VRM has been then studied. The detection of the ITSC is achieved by the use of the stator current spectral analysis technique. The simulation results obtained, illustrate well the interest and efficiency of the proposed model as well as of the merits of the stator current spectral analysis technique for the stator ITSC fault diagnosis of the VRM.</span>

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PI-Based SRM Speed Control System

Akbar

Ismail

Hamidi

et al. 2021

2021 IEEE 7th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA)

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Comparison on behavior of different faults in fuzzy logic and PID controlled switched reluctance motor drives

Cited by 3 publications

References 13 publications

An Overview of Fault-Diagnosis and Fault-Tolerance Techniques for Switched Reluctance Machine Systems

An Overview of Fault-Diagnosis and Fault-Tolerance Techniques for Switched Reluctance Machine Systems

A combined variable reluctance network-finite element VR machine modeling for stator inter-turn short-circuit diagnosis

PI-Based SRM Speed Control System

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