Optimization of slot permeance coefficient with average differential evolution algorithm for maximum torque values by minimizing reactances in induction machines

Yetgin, Asım Gökhan; Durmuş, Burhanettin

doi:10.1016/j.asej.2021.01.012

Cited by 6 publications

(2 citation statements)

References 17 publications

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“…The use of different slot geometries in motors significantly changes the motor performance via the variation of equivalent circuit parameters. For this reason, it is of great importance that the slot geometries are properly selected when designing the motor [8].…”

Section: Introductionmentioning

confidence: 99%

Derived Functions for MATLAB Non-linear Solvers – an optimal Stator Slot Design Stopgap

Omogbai

2023

JERR

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In the three-phase squirrel cage induction motor (SCIM), like other rotating electromechanical machines, the active length of the stator windings lies in the slots. The proper dimensioning of the slots is therefore critical to the design of both the windings and the stator core, so as to attain a high performing machine. The preliminary stage of the SCIM design, if well done, facilitates the refinement and optimization stages; serving as a good take-off point for that final state of the art design. The aim of this article isn’t to come up with a novel optimization method for the SCIM, but to provide another way of obtaining an initial stator slot design template, from where proper design refinement/optimization techniques could obtain very good starting values and be facilitated. Therefore, an attempt is being made here to derive relevant design functions that could be fed into the algorithms of various non-linear solvers such as the Genetic Algorithm (GA), to output the main stator slot dimensions for the SCIM. The final designed SCIM obtained from implementing the derived equations, when compared with the appropriate reference datasheets, showed only minor deviations from the expected performance indices – an outcome deemed satisfactory for a preliminary design attempt. These initial dimensions may in practice be subjected to the appropriate refinement. Depending on the target performance requirement of the motor.

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Section: Introductionmentioning

confidence: 99%

Derived Functions for MATLAB Non-linear Solvers – an optimal Stator Slot Design Stopgap

Omogbai

2023

JERR

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Section: Introductionmentioning

confidence: 99%

Derived Functions for MATLAB Non-Linear Solvers: An optimal rotor slot and bar design stopgap

Omogbai¹

2023

World J. Adv. Eng. Technol. Sci.

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The most striking difference between the Squirrel cage induction motor (SCIM) and other electric motors lies invariably in the rotor. The major running performance characteristics, together with the entire acceleration performance range, are all influenced, in varying degrees, by the rotor slot and bar design. Therefore, proper dimensioning of the slots and bars is therefore critical to attaining a high performing machine. The preliminary stage of the SCIM design, if well done, facilitates the refinement and optimization stages; serving as a good take-off point for ultimately realizing that final state of the art design. This study therefore attempts to derive relevant design functions that could be fed into the algorithms of various non-linear solvers, one of which is the Genetic Algorithm (GA), to output the rotor slot initial main dimensions for the SCIM; from where proper design refinement/optimization could cheaply evolve. The SCIM design obtained from implementing the derived equations, when compared with the appropriate reference datasheets, showed only minor deviations from the expected performance indices – an outcome deemed satisfactory for a preliminary design attempt. The so obtained initial dimensions may in practice be subjected to the appropriate refinement, depending on the target performance requirement of the motor to be designed.

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Prediction of soil cation exchange capacity using enhanced machine learning approaches in the southern region of the Caspian Sea

Emamgholizadeh

Bazoobandi

Mohammadi

et al. 2023

Ain Shams Engineering Journal

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Optimization of slot permeance coefficient with average differential evolution algorithm for maximum torque values by minimizing reactances in induction machines

Cited by 6 publications

References 17 publications

Derived Functions for MATLAB Non-linear Solvers – an optimal Stator Slot Design Stopgap

Derived Functions for MATLAB Non-linear Solvers – an optimal Stator Slot Design Stopgap

Derived Functions for MATLAB Non-Linear Solvers: An optimal rotor slot and bar design stopgap

Prediction of soil cation exchange capacity using enhanced machine learning approaches in the southern region of the Caspian Sea

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