Изв.вузов Электромеханика

2017

DOI: 10.17213/0136-3360-2017-1-20-27

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Magnetic System Optimization of Switched Reluctance Motor

A. D. Petrushin¹,

Victor Shcherbako²,

Alexandr Kashuba³

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The Example Of Optimizing the Geometric Shape Of A Rotor Pole1

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Cited by 5 publications

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“…The number of points defining the halfpole contour is 21. Optimization criteria: minimum of torque ripple, it is defined as follows [4, 11,13]:…”

Section: The Example Of Optimizing the Geometric Shape Of A Rotor Polementioning

confidence: 99%

Using Optimization Algorithms in the Design of SRM

Alexandrovich³

2020

Modelling and Control of Switched Reluctance Machines

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Switched reluctance motors (SRM) are increasingly used in various industries and vehicles, in addition, in household appliances and in medical equipment. This chapter presents the results of research on the geometric optimization of the magnetic circuit of the switched reluctance motor (SRM) and optimization of the control algorithm. The developed optimization method of magnetic circuit geometry is based on the existing Monte Carlo method. It also allows finding global maxima and minima of an objective function. The main differences of the developed method are as follows: it includes the normal distribution and searches for the geometric shape of the rotor pole as smooth curves (the air gap is not necessarily constant). The problem of optimal control was solved using the Pontryagin's maximum principle. The initial conditions for the auxiliary functions were determined using the Newton-Raphson method. The recommendations on the practical implementation of the optimal control algorithm are given.

“…The number of points defining the halfpole contour is 21. Optimization criteria: minimum of torque ripple, it is defined as follows [4, 11,13]:…”

Section: The Example Of Optimizing the Geometric Shape Of A Rotor Polementioning

confidence: 99%

Using Optimization Algorithms in the Design of SRM

Alexandrovich³

2020

Modelling and Control of Switched Reluctance Machines

View full text Add to dashboard Cite

Switched reluctance motors (SRM) are increasingly used in various industries and vehicles, in addition, in household appliances and in medical equipment. This chapter presents the results of research on the geometric optimization of the magnetic circuit of the switched reluctance motor (SRM) and optimization of the control algorithm. The developed optimization method of magnetic circuit geometry is based on the existing Monte Carlo method. It also allows finding global maxima and minima of an objective function. The main differences of the developed method are as follows: it includes the normal distribution and searches for the geometric shape of the rotor pole as smooth curves (the air gap is not necessarily constant). The problem of optimal control was solved using the Pontryagin's maximum principle. The initial conditions for the auxiliary functions were determined using the Newton-Raphson method. The recommendations on the practical implementation of the optimal control algorithm are given.

Mathematical Modelling and Optimization of Single-Phase High-Speed Flux Reversal Motor

¹

,

²

,

³

et al. 2018

2018 XIII International Conference on Electrical Machines (ICEM)

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Improvement of Switched Reluctance Motor Performance Using Optimization Algorithms

¹

,

²

2018

2018 X International Conference on Electrical Power Drive Systems (ICEPDS)

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