Experimental Sensorless Control of Switched Reluctance Motor for Electrical Powertrain System

Chaibet, Ahmed; Boukhnifer, Moussa; Ouddah, Nadir

doi:10.3390/en13123081

Cited by 5 publications

(6 citation statements)

References 15 publications

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“…To levitate the rotor from a standstill position, the total suspension force (Fs) is obtained by adding both x-and y-directional suspension forces, given in Equation (1).…”

Section: Rotor Modeling (Suspension Control)mentioning

confidence: 99%

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Global Sliding-Mode Suspension Control of Bearingless Switched Reluctance Motor under Eccentric Faults to Increase Reliability of Motor

et al. 2020

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Bearingless motor development is a substitute for magnetic bearing motors owing to several benefits, such as nominal repairs, compactness, lower cost, and no need for high-power amplifiers. Compared to conventional motors, rotor levitation and its steady control is an additional duty in bearingless switched reluctance motors when starting. For high-speed applications, the use of simple proportional integral derivative and fuzzy control schemes are not in effect in suspension control of the rotor owing to inherent parameter variations and external suspension loads. In this paper, a new robust global sliding-mode controller is suggested to control rotor displacements and their positions to ensure fewer eccentric rotor displacements when a bearingless switched reluctance motor is subjected to different parameter variations and loads. Extra exponential fast-decaying nonlinear functions and rotor-tracking error functions have been used in the modeling of the global sliding-mode switching surface. Simulation studies have been conducted under different testing conditions. From the results, it is shown that rotor displacements and suspension forces in X and Y directions are robust and stable. Owing to the proposed control action of the suspension phase currents, the rotor always comes back rapidly to the center position under any uncertainty.

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“…To levitate the rotor from a standstill position, the total suspension force (Fs) is obtained by adding both x-and y-directional suspension forces, given in Equation (1).…”

Section: Rotor Modeling (Suspension Control)mentioning

confidence: 99%

“…Contemporary industry needs high-speed motor drives in aerospace compressors, flywheel technology-based electrical energy storage devices, and electric vehicles [1,2]. However, several difficulties may occur when a conventional mechanical bearing is used to support the shaft of a high-speed electric motor.…”

Section: Introductionmentioning

confidence: 99%

Global Sliding-Mode Suspension Control of Bearingless Switched Reluctance Motor under Eccentric Faults to Increase Reliability of Motor

et al. 2020

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“…Electrical Vehicle (EV) technology is among the promising solution for achieving some of these ambitions. Indeed, efforts are underway in a number of countries to boost the number of EVs in order to achieve the decarbonisation of the transportation sector [4,5].…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of ITSC fault in the electrical vehicle powertrain system through signal processing analysis

Ouamara¹,

Boukhnifer²,

Chaibet³

et al. 2023

Diagnostyka

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The three-phase induction motor is well suited for a wide range of mobile drives, specifically for electric vehicle powertrain. During the entire life cycle of the electric motor, some types of failures can occur, with stator winding failure being the most common. The impact of this failure must be considered from the incipient as it can affect the performance of the motor, especially for electrically powered vehicle application. In this paper, the intern turn short circuit of the stator winding was studied using Fast Fourier transform (FFT) and Shor-Time Fourier transform (STFT) approaches. The residuals current between the estimated currents provided by the extended Kalman filter (EKF) and the actual ones are used for fault diagnosis and identification. Through FFT, the residual spectrum is sensitive to faults and gives the extraction of inter-turn short circuit (ITSC) related frequencies in the phase winding. In addition, the FFT is used to obtain information about when and where the ITSC appears in the phase winding. Indeed, the results allow to know the faulty phase, to estimate the fault rate and the fault occurrence frequency as well as their appearance time.

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“…The SRM is an innovative electric motor that was derived from DC and AC motors [1][2][3]. This motor effectively integrates the advantages of both and has exceptional startup and speed control capabilities.…”

Section: Introductionmentioning

confidence: 99%

The Study of SRM Sensorless Control Strategy Based on SOGI-FLL and ADRC-PLL Hybrid Algorithm

Ni,

Zhang,

et al. 2023

Electronics

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The inductance model used in traditional sensorless control methods for switched reluctance machines (SRMs) exhibits high-order harmonics. The precision of the motor may be impacted by the buildup of rotor estimate errors caused by these harmonics. To address this issue, this paper proposes a novel method for SRMs that employs a hybrid algorithm combining an enhanced second-order generalized integrator (SOGI)-based frequency-locked loop (FLL) and an active disturbance rejection control (ADRC)-based phase-locked loop (PLL). This approach involves coordinate transformation and parameter identification to reconstruct the motor inductance model. Rotor position errors are calculated using the unsaturated inductance difference method. In order to enhance the accuracy of motor position estimation, a hybrid algorithm is employed to efficiently filter out harmonic errors and mitigate the tremor effect caused by the rotor position differential algorithm. This hybrid algorithm enables the estimate of the motor’s speed and rotor position. A sensorless control simulation model was developed using a 12/8 pole SRM to assess the motor’s performance under varying load conditions. Based on the results obtained, it is established that the application of this method can accurately estimate the rotor’s position and rotational speed and thus improve the performance of position sensorless control. Ultimately, a prototype system for a switched reluctance motor was created, and the effectiveness and feasibility of the proposed control technique were confirmed through experimental validation. This presents an innovative approach to engineering practice.

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Experimental Sensorless Control of Switched Reluctance Motor for Electrical Powertrain System

Cited by 5 publications

References 15 publications

Global Sliding-Mode Suspension Control of Bearingless Switched Reluctance Motor under Eccentric Faults to Increase Reliability of Motor

Global Sliding-Mode Suspension Control of Bearingless Switched Reluctance Motor under Eccentric Faults to Increase Reliability of Motor

Diagnosis of ITSC fault in the electrical vehicle powertrain system through signal processing analysis

The Study of SRM Sensorless Control Strategy Based on SOGI-FLL and ADRC-PLL Hybrid Algorithm

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