Synergy of electrostatic discharge optimizer and experimental verification for parameters estimation of three phase induction motors

Elkholy, Mahmoud M.; El-Hay, Enas A.; El‐Fergany, Attia A.

doi:10.1016/j.jestch.2021.09.013

Cited by 6 publications

(2 citation statements)

References 55 publications

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“…Presentation of parameters for a group of 33 SCIM motors operating as a 3-phase of 380 volts and develop a method for performance characteristics calculation over full-load using a conventional equivalent circuit to industrialize all parts of these motors at Egypt SIEMENS factory was thoughtful by Shanab (2021). Elkholy et al (2022) provides a pair of strategies for 3-phase induction motor parameters estimation, named as manufacturer's datasheet method (MDSM) and on-service method (OSM) that address based on actual measurements which does not need to release the motor from the connected load. A MATLAB simulation predictive model for an induction motor is the proposed method of Sharma (2016) for the motor running at a low and high speed with the selection of optimum switching time for AC electrical drives.…”

Section: Related Workmentioning

confidence: 99%

Parameters Variation to Estimate Performance Characteristics of 3-Phase Asynchronous Motor

Hikmat Elias,

Shaia Hanna

2023

UKHJSE

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The 3-phase asynchronous squirrel cage motors (SCIM) are main competitor machines placed instead of other motors in the commercial and industrial fields. The stator and rotor material selection and construction topology influence the electrical machine design. The results illustrated with the motor of a 15KW, variable controlled speed, for the constant frequency of 50 Hz or 60 Hz. The motor parameters created inside the simulation model must be matched with the value of a standard parameter for SCIM to achieve a high dynamic response. This work examines the effect of the parameters variation for synchronous motor on the performance characteristics at starting point and at a load change for different time and speed regions. Changing of the rotor power is taken into consideration, this occurs with dynamic change of the hydraulic pump load from the valve.In the industrial applications, production,and manufacturing, till present there are still struggles to find the most holistic environment of the SCIM to achieve its efficiency at the lowest cost and same time control the motor performance, so we predicted the method of reducing the most effective motor parameters to improve the efficiency.The offline method used the SCIM parameters to calculate the time-varying current, torque, and rotor speed. The results illustrated that this method was fully consistent with the experiment tests and the standard theoretical values.A MATLAB program is used to simulate this study. The simulation model proved the feasibility of the proposed method with encouraging performance.

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Section: Related Workmentioning

confidence: 99%

Parameters Variation to Estimate Performance Characteristics of 3-Phase Asynchronous Motor

Hikmat Elias,

Shaia Hanna

2023

UKHJSE

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“…The simulation results clearly illustrate the superiority of BF over other evolutionary approaches such as PSO and immune algorithm (IA). The modified shuffled frog-leaping (MSFL) technique is implemented by Perez et al [20]. The power factor and torque were used as objective functions to minimize the difference between calculated and manufacturers' data.…”

Section: Introductionmentioning

confidence: 99%

Improved Moth Flame Optimization Approach for Parameter Estimation of Induction Motor

et al. 2022

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The effective deployment of electrical energy has received attention because of its environmental implications. On the other hand, induction motors are the primary equipment used in many industries. Industrial facilities demand the maximum percentage of energy. This energy demand is determined by the operating circumstances imposed by the internal characteristics of the induction motor. Because internal parameters of an induction motor are not immediately measurable, they must be obtained through an identification process. This paper proposed an improved version of moth flame optimization (IMFO) for the efficient parameter estimation of induction motors. A steady-state equivalent circuit of the induction motor is employed for the simulation. The proposed technique handles the parameter estimation problem better than moth flame optimization (MFO), particle swarm optimization (PSO), the flower pollination algorithm (FPA), the tunicate swarm algorithm (TSA), and the sine cosine algorithm (SCA). The anticipated IMFO reduces the cost function by 49.38% as compared with the basic version of MFO.

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Optimal induction machine parameter estimation method with artificial neural networks

Ipek,

Taskiran,

Bekiroglu

et al. 2023

Electr Eng

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Synergy of electrostatic discharge optimizer and experimental verification for parameters estimation of three phase induction motors

Cited by 6 publications

References 55 publications

Parameters Variation to Estimate Performance Characteristics of 3-Phase Asynchronous Motor

Parameters Variation to Estimate Performance Characteristics of 3-Phase Asynchronous Motor

Improved Moth Flame Optimization Approach for Parameter Estimation of Induction Motor

Optimal induction machine parameter estimation method with artificial neural networks

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