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An Efficient Estimation Model for Induction Motor Using BMO-RBFNN Technique

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Abstract

This manuscript proposes an efficient estimation model for induction motor using a proposed technique. The proposed technique is the combination of barnacles mating optimizer (BMO) and radial basis function neural network (RBFNN); hence, it is called the BMO-RBFNN. The BMO-RBFNN method is used to optimize the machine parameters and check the reliability with effectiveness of induction motor. The barnacles mating optimizer is used to optimum reactive power dispatch (ORPD) issues to check the dependability with random reduction and also the ability to adapt complex optimization issues. The Radial Basis Function Neural Network is an artificial neural network (ANN) that uses radial basis functions as activating operations. Here, the positive sequence parameters of induction motor under various operating conditions are optimized depending on the objective function of the BMO-RBFNN technique. In several operating conditions, the parameter optimization is possible to help the extracted positive sequence input current and power. By using the optimization parameter, the negative sequence parameter is calculated. The performance of the induction motor for several operating conditions is estimated from the attained parameters. The proposed technique is activated in MATLAB/Simulink site, and the efficiency is analyzed with other existing technique like genetic algorithm (GA).

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Authors and Affiliations

  1. Electrical and Electronics Engineering, Anna University, Chennai, Tamil Nadu, India

    P. Rajesh

  2. Electronics and Communication Engineering, Anna University, Chennai, Tamil Nadu, India

    Francis H. Shajin

  3. Department of Electrical & Electronics Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India

    N. Vijaya Anand

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  1. P. Rajesh
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  2. Francis H. Shajin
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  3. N. Vijaya Anand
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Correspondence to P. Rajesh.

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Rajesh, P., Shajin, F.H. & Vijaya Anand, N. An Efficient Estimation Model for Induction Motor Using BMO-RBFNN Technique. Process Integr Optim Sustain 5, 777–792 (2021). https://doi.org/10.1007/s41660-021-00177-4

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