Optimization of Switched Reluctance Motor Drive Firing Angles Using Grey Wolf Optimizer for Torque Ripples Minimization

Debouza, Mahdi; Al‐Durra, Ahmed; Hasanien, Hany M.; Leng, Shuai; Taha, Wesam

doi:10.1109/iecon.2018.8591473

Cited by 9 publications

(3 citation statements)

References 17 publications

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“…In the design process of a switched reluctance motor, the performance of the motor drive can be further improved by applying appropriate control. In [22], a response surfacebased optimization was conducted, and the grey wolf optimizer algorithm was utilized to calculate the optimal conduction angles for torque ripple minimization in an SRM drive. However, other parameters such as the energy utilization capability and torque per ampere were not evaluated.…”

Section: Introductionmentioning

confidence: 99%

Determining the Control Parameters of a Switched Reluctance Motor Drive Based on Energy Utilization

Agrawal

Bilgin

2023

IEEE Access

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The energy utilization ratio (ER) quantifies the utilization of a Switched Reluctance Motor (SRM). Calculation of ER of an SRM can be different from other motors as it has highly non-linear operating characteristics and uses an asymmetric bridge converter. In this paper, the concept of ER for SRMs has been explained first and then a computation methodology is presented based on the co-energy and stored energy in the magnetic system. The magnetic stored and co-energy are evaluated in ANSYS Maxwell for the static characterization of the motor. These magnetic energy quantities are computed under the dynamic operation of the SRM drive from the area under the flux linkage-current curve to compute the energy utilization. An experimental correlation is performed for validating the proposed ER computation methodology in SRM drives. Finally, the components of the energy utilization ratio are applied to determine the control objectives of a switched reluctance motor drive to improve the electromagnetic performance. Utilizing the energy utilization ratio components in the optimization of the phase turn on and turn off angles of an SRM helps to achieve a single optimization objective to improve the average torque, energy utilization, and torque ripple performance, and they can be used in multi-objective optimization, as well.INDEX TERMS Asymmetric bridge converter, co-energy, energy utilization ratio, stored energy, switched reluctance motor.

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Section: Introductionmentioning

confidence: 99%

Determining the Control Parameters of a Switched Reluctance Motor Drive Based on Energy Utilization

Agrawal

Bilgin

2023

IEEE Access

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“…The control systems, on the other hand, have the potential to significantly reduce torque ripple and maximize the performance of SRMs [15]- [19]. The commonly utilized control schemes in the literature are the traditional current control (CC) systems [20]- [25] and the advanced torque control (TC) systems. The TC systems mainly include the average (ATC) [26]- [30] and the instantaneous torque control (ITC) systems.…”

Section: Introductionmentioning

confidence: 99%

Research on Novel Hybrid Torque Sharing Function for Switched Reluctance Motors

Al-Amyal

Számel

2022

IEEE Access

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Torque Sharing Function (TSF) approach can be considered a promising method to solve the torque ripple issue in switched reluctance motors (SRMs) drives at low and medium speed ranges. However, at the high-speed operation of the machine, the actual phase current fails to track the reference current profile. This limitation primarily occurs over the demagnetization period of each phase current. Consequently, each phase torque will also fail to track its corresponding reference torque created by the TSF strategy. As a result, of the torque tracking error, a considerable torque ripple will be produced. To address this issue, a novel hybrid TSF is proposed in this research article. The hybrid TSF can adapt during the real-time operation relying on the current (and thus the torque) tracking capability during the magnetization period, which is much higher than during the demagnetization period. At each electrical cycle, the rising part of the incoming phase torque reference is re-profiled to mirror the declining part of the actual torque of the outgoing phases. And therefore, the torque tracking error can be compensated, and a remarkable torque ripple suppression will be attained. Additionally, within the hybrid TSF, an overlap angle controller is also proposed in this work and participated in high-speed operation. The controller keeps monitoring the error between the commanded torque and the actual average torque of the machine, and by adjusting the overlap angle in real-time, the error can be further compensated. Thus, further torque tracking capability is attained. A set of simulation results are presented and favorably compared with other traditional TSF approaches to demonstrate the feasibility and validity of the proposed hybrid TSF.INDEX TERMS Switched reluctance motor, hybrid torque sharing function, indirect instantaneous torque control.

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“…More recently, torque position based current modelling and model predictive control techniques have been considered in reducing torque ripple in SRM [29] [30]. M Debouza et al proposed a novel grey wolf optimization technique to optimize the SRM converter firing pulses to produce the lowest possible torque ripples [31]. The optimum value of the objective function to reduce torque ripple was found to be 0.98167.…”

Section: Introductionmentioning

confidence: 99%

Geometric Modification of a Switched Reluctance Motor for Minimization of Torque Ripple using Finite Element Analysis for Electric Vehicle Application

Sasidharan¹,

Isha²

2019

JESTR

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There is a growing interest in developing Switched Reluctance Motors for electrical traction applications. This is mainly due to the significant advantages as lower cost, better fault tolerance, high reliability possessed by Switched Reluctance Motor (SRM) when compared with any other rare earth motors. But the SRM suffers from a torque ripple problem due to its double saliency and this has limited its use in automotive traction applications. This paper deals with the design of an 8/6 20kW SRM used for electric vehicle application and comparison of performance of the conventional motor with that of geometrically optimized SRM. The conventional design method is available in literature. The optimized geometry is modeled using JMAG software and compared with the conventional one for reduced torque ripple. The optimization was done for the air gap, extended pole shoe, fillets and circular windows for reduced torque ripple. The simulation shows a reduced torque ripple for the optimized geometry.

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Optimization of Switched Reluctance Motor Drive Firing Angles Using Grey Wolf Optimizer for Torque Ripples Minimization

Cited by 9 publications

References 17 publications

Determining the Control Parameters of a Switched Reluctance Motor Drive Based on Energy Utilization

Determining the Control Parameters of a Switched Reluctance Motor Drive Based on Energy Utilization

Research on Novel Hybrid Torque Sharing Function for Switched Reluctance Motors

Geometric Modification of a Switched Reluctance Motor for Minimization of Torque Ripple using Finite Element Analysis for Electric Vehicle Application

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