Extended Kalman filter‐based method for inter‐turn fault detection of the switched reluctance motors

Hoseini, Seyed Reza Khayam; Farjah, Ebrahim; Ghanbari, Teymoor; Givi, Hadi

doi:10.1049/iet-epa.2015.0602

Cited by 37 publications

(4 citation statements)

References 17 publications

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“…Despite the previous works have been valuable and have made significant advancements in the ATC approach for SRMs, they have overlooked potential fault situations that may occur in SRMs. Generally, faults in SRMs could be in the drive circuit (power converter), or internally within stator windings [30,31]. The literature mainly focusses on faults in the power converter switches [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

A Novel Interturn Fault Tolerant-Based Average Torque Control of Switched Reluctance Motors for Electric Vehicles

Hamouda,

Al-Amyal,

Elsherbiny

et al. 2024

IEEE Access

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Because of their attractive features, switched reluctance motors (SRMs) are strong candidates with real chances on the market for several industrial applications including vehicle propulsion. However, the SRMs suffer from torque ripple and associated acoustic noise. A proper control algorithm can handle torque ripples to an accepted limit. However, the internal faults in stator windings of SRMs deteriorate not only the performance of control algorithm but also the output power, efficiency, and noise (torque ripple). They cause fast degradation of motor lifetime. Therefore, this paper introduces a novel method to counteract the internal faults in winding of SRMs. A new simulation method for SRMs including the capability of interturn faults is introduced. The proposed novel interturn fault tolerant control (FTC) is achieved based on average torque control (ATC) algorithm. The switching angles are optimized smartly providing a less complicated control algorithm to fit properly with the industrial platforms. The simplicity of overall control algorithm is still functional. The performance of proposed FTC is evaluated compared to healthy motor conditions as well as faulty conditions. The results show the superior performance of the proposed control.INDEX TERMS Switched reluctance motor, interturn fault, fault-tolerant control, average torque control, optimization, modelling.

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Section: Introductionmentioning

confidence: 99%

A Novel Interturn Fault Tolerant-Based Average Torque Control of Switched Reluctance Motors for Electric Vehicles

Hamouda,

Al-Amyal,

Elsherbiny

et al. 2024

IEEE Access

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“…In [24], the authors use an extended conventional state vector Kalman Filter algorithm to estimate three short-circuited turn ratios for a permanent-magnet synchronous generator. In [25], the EKF was applied to Switched reluctance motors (SRMs) for fault detection based on the residual signal of the resistance.…”

Section: Introductionmentioning

confidence: 99%

PMSM Inter-Turn Short Circuit Fault Detection Using the Fuzzy-Extended Kalman Filter in Electric Vehicles

Romdhane,

Naoui,

Mansouri

2023

Electronics

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To avoid damaging the motor and its surrounding equipment, detecting Inter-Turn Short Circuit (ITSC) faults in Permanent Magnet Synchronous Motors (PMSMs) applied in electric vehicles is a crucial task. In this paper, the detection of ITSC faults in stator winding for PMSMs is carried out by means of the Extended KALMAN Filter (EKF) algorithm combined with the Fuzzy Logic Estimator (FLE). To estimate the motor parameters, including the rotor position and speed, the EKF algorithm uses the measured stator currents and voltages beside the stator resistance, which is calculated in advance using fuzzy logic and fed to the EKF. The change behaviors of the estimated parameters were then used to detect short circuit faults in the PMSM. Using Matlab/Simulink, the proposed FL-EKF algorithm was implemented and tested on a faulty PMSM controlled by Field Oriented Control (FOC). The observation of a perfect estimation of the stator resistance through the simulation helps to precisely detect the failure, and that demonstrates the sensitivity and robustness of the proposed approach.

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“…While in [15], the short-circuit fault diagnostics are also made using an EKF. In particular, two examples of diagnosis methods based on the EKF for the SRM, are as follows: ref [16], in which winding resistance is estimated to help detect inter-turn faults, and [17], in which the inter-turn fault is detected from chopping switching signals. A recent survey on detection and isolation methods for the SRM was presented in [18].…”

Section: Introductionmentioning

confidence: 99%

On-Line Open-Phase Fault Detection Method for Switched Reluctance Motors with Bus Current Measurement

Guerra¹,

Jimenez-Mondragon²,

Torres³

et al. 2020

Actuators

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This article introduces an on-line fault diagnosis (FD) system to detect and recognize open-phase faults in switched reluctance motors (SRMs). Both tasks, detection and recognition, are based on functions built with the same information but from different sources. Specifically, these functions are constructed from bus current measurement provided by a sensor and from the estimate of such a current provided by an extended Kalman filter (EKF) that performs the estimation from only rotor angular position measurements. In short, the FD system only requires two measurements for employment: bus current and angular position. In order to show its efficacy, results from numerical simulations (performed in a virtual test bench) are presented. Specifically, these simulations involve the dynamics of the SRM, including the magnetic phenomena caused by the analyzed faults. The motor dynamics were obtained with finite element simulations, which guarantee results close to the actual ones.

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Extended Kalman filter‐based method for inter‐turn fault detection of the switched reluctance motors

Cited by 37 publications

References 17 publications

A Novel Interturn Fault Tolerant-Based Average Torque Control of Switched Reluctance Motors for Electric Vehicles

A Novel Interturn Fault Tolerant-Based Average Torque Control of Switched Reluctance Motors for Electric Vehicles

PMSM Inter-Turn Short Circuit Fault Detection Using the Fuzzy-Extended Kalman Filter in Electric Vehicles

On-Line Open-Phase Fault Detection Method for Switched Reluctance Motors with Bus Current Measurement

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