Determining the Control Objectives of a Switched Reluctance Machine for Performance Improvement in Generating Mode

Zahid, Ahsan; Bilgin, Berker

doi:10.1109/ojia.2023.3256364

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…However, other parameters such as the energy utilization capability and torque per ampere were not evaluated. In [23], [24], and [25], the authors used the global genetic algorithm to calculate the optimal conduction angles for improvement in electromagnetic torque and torque ripple performance in an SRM drive. However, the impact of utilizing co-energy and stored energy in the optimization of control parameters of an SRM drive was not explored.…”

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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“…Similarly, GA was used in [15] to achieve an improved TSF with lower current tracking error for torque ripple reduction in SRMS. Targeting to minimize the torque ripple, authors in [16] developed specific optimization objectives for conduction angle control during generating mode.…”

Section: Introductionmentioning

confidence: 99%

Genetic Algorithm-Based Commutation Angle Control for Torque Ripple Mitigation in Switched Reluctance Motor Drives

Reis,

Kimpara,

Galotto

et al. 2023

IEEE Access

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This work addresses the application of the Genetic Algorithm (GA) technique to optimize the commutation angles of a 2 kW 8/6 switched reluctance machine (SRM). The primary goal is to reduce the well-known drawback of SRMs: the torque ripple. Firstly, the machine was modeled in Matlab/Simulink® using lookup tables obtained via finite element method (FEM) simulations. Subsequently, the model was used to perform the GA routine aiming to find the optimal phase commutation angles that minimize the torque ripple factor. Notably, the torque performance of the SRM was significantly affected by the commutation angles during the search for the optimal solution. Afterwards, the GA results for four different operation points were verified experimentally through a developed drive platform with digital signal processor-based (DSP) control and an asymmetric bridge converter. As showed by the experiments, the proposed approach was suitable to reduce the torque ripple by more than 50% for one of the evaluated operating points. Furthermore, it was confirmed that the torque ripple mitigation led to acoustic noise improvement.INDEX TERMS Switched reluctance motor, genetic algorithm, optimization, torque ripple.

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Torque ripple minimization in an 8/6 switched reluctance motor drive: optimization using the AZOA method

Chaple,

Deotale,

Deotale

2024

Australian Journal of Electrical and Electronics Engineering

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Determining the Control Objectives of a Switched Reluctance Machine for Performance Improvement in Generating Mode

Cited by 5 publications

References 21 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

Genetic Algorithm-Based Commutation Angle Control for Torque Ripple Mitigation in Switched Reluctance Motor Drives

Torque ripple minimization in an 8/6 switched reluctance motor drive: optimization using the AZOA method

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