Torque Ripple Reduction of Switched Reluctance Machine With Torque Distribution and Online Correction

Song, Shoujun; Huang, Shuo; Zhao, Yong; Zhao, Xujing; Duan, X. H.; Ma, Ronghua; Liu, Weiguo

doi:10.1109/tie.2022.3210516

Cited by 11 publications

(3 citation statements)

References 19 publications

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“…The error between the reference and the instant torque constitutes a fuzzy set to generate a reference current insensitive to rotor angles [23]. According to the current voltage and speed, the maximum output torque capacity of the current phase is calculated, and the other phase compensates for the defective part to obtain the phase reference torque of the commutation [24]. Torque error fuzzy processing, resulting in compensation current, can also reduce torque ripple [25].…”

Section: Introductionmentioning

confidence: 99%

Torque Ripple Suppression of Switched Reluctance Motor with Reference Torque Online Correction

et al. 2023

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High torque ripple dramatically affects the switched reluctance motor (SRM) application. To reduce the torque ripple, a reference torque neural network (RTNN) is proposed to adjust the reference torque online. Firstly, the RTNN is built on the torque sharing function (TSF) method. Furthermore, the RTNN is designed as a single-input and -output network. As the periodic relationship between the torque ripple and the rotor angle, the rotor angle constitutes the central node parameter of the implicit function in RTNN. Therefore, one-step adjustment of the RTNN can perform well at restraining reference torque. Lastly, the torque error is used to adjust the parameters of RTNN to reduce the torque ripple. In the MATLAB environment, through the simulation comparison with fuzzy torque and PD current compensation method, the effectiveness of RTNN at torque ripple suppression is proven with different loads and speeds.

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Section: Introductionmentioning

confidence: 99%

Torque Ripple Suppression of Switched Reluctance Motor with Reference Torque Online Correction

et al. 2023

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“…Angle position control and current chopping control are the traditional control methods for SRM [35][36][37][38][39][40]. With the development of current control technology, people are further studying different aspects of SRM control, such as sliding mode control [41][42][43][44][45][46], sensor-less control [47][48][49][50][51], fault-tolerant control [52][53][54][55][56][57], robust control [58][59][60], and minimizing torque ripple control [61][62][63][64].…”

Section: Introductionmentioning

confidence: 99%

A Review on Predictive Control Technology for Switched Reluctance Motor System

Zhu

Yao

Sun

2023

WEVJ

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The significance of employing control strategies on a switched reluctance motor (SRM) is that they can reduce vibration noise and torque ripple. With the rapid development of digital system processors, predictive control (PC), as a modern control approach, is increasingly applied to enhance the dynamic performance and operational efficiency of SRMs. This review provides a comprehensive overview of the current state of research on PC strategies of SRMs and classifies PC technologies, such as generalized predictive control (GPC), hysteresis predictive control (HPC), deadbeat predictive control (DPC), and model predictive control (MPC). It summarizes the PC schemes from the aspects of predictive current control (PCC), predictive torque control (PTC), and other PC, and it discusses the current trends in technology development, as well as potential research directions. The insights presented herein aim to facilitate further investigations into predictive control techniques for SRM.

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“…Optimizing the structure [8][9][10] and control [11][12][13][14][15][16] of SRMs are two ways to reduce the ripple. Among them, advanced control strategies are more commonly used and effective.…”

Section: Introductionmentioning

confidence: 99%

Direct Instantaneous Torque Control of SRM Based on a Novel Multilevel Converter for Low Torque Ripple

Cai

Dong

Liu

et al. 2023

WEVJ

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The torque ripple of a switched reluctance motor (SRM) limits its application in electric vehicles. This paper proposes a DITC system for SRMs based on a novel multilevel converter (MLC), which aims at the problem that the torque ripple cannot be effectively suppressed for the conventional direct instantaneous torque control (DITC) of an SRM due to the limitation of the DC bus voltage in the asymmetric half-bridge converter (AHBC) and the single control strategy formulated in the commutation region. Based on the advantages of fast excitation and fast demagnetization for the proposed MLC and the torque distribution characteristics for each phase winding in the commutation region, a novel torque hysteresis control strategy is developed to improve the torque-following ability of the DITC and achieve the purpose of minimizing the torque ripple in the commutation region. In addition, multiobjective optimization control of the motor is carried out to improve the efficiency of the DITC system while suppressing the torque ripple. The effectiveness of the proposed SRM drive scheme is verified by experiment, which is of great significance for the application of SRMs in electric vehicles.

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Torque Ripple Reduction of Switched Reluctance Machine With Torque Distribution and Online Correction

Cited by 11 publications

References 19 publications

Torque Ripple Suppression of Switched Reluctance Motor with Reference Torque Online Correction

Torque Ripple Suppression of Switched Reluctance Motor with Reference Torque Online Correction

A Review on Predictive Control Technology for Switched Reluctance Motor System

Direct Instantaneous Torque Control of SRM Based on a Novel Multilevel Converter for Low Torque Ripple

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