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A Heuristic Computing Approach Using Sequential Quadratic Programming To Solve The Fifth Kind Of Induction Motor Model

Author

Listed:
  • ZULQURNAIN SABIR

    (Department of Mathematics and Statistics, Hazara University, Mansehra, Pakistan)

  • MUHAMMAD ASIF ZAHOOR RAJA

    (��Future Technology Research Center, National Yunlin University of Science and Technology 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan, R. O. C.)

  • S. R. MAHMOUD

    (��GRC Department, Faculty of Applied Studies, King Abdulaziz University, Jeddah, Saudi Arabia)

  • JUAN L. G. GUIRAO

    (�Department of Applied Mathematics and Statistics, Technical University of Cartagena Hospital de Marina, 30203 Cartagena, Spain¶Nonlinear Analysis and Applied Mathematics (NAAM)-Research Group, Department of Mathematics, Faculty of Science, King Abdulaziz University, P. O. Box 80203, Jeddah 21589, Saudi Arabia∥Laboratory of Theoretical Cosmology, International Centre of Gravity and Cosmos, TUSUR, 634050 Tomsk, Russia)

  • JUAN M. SÃ NCHEZ

    (�Department of Applied Mathematics and Statistics, Technical University of Cartagena Hospital de Marina, 30203 Cartagena, Spain)

Abstract

The purpose of the current investigation is to solve the fifth kind of induction motor model using an advanced computational scheme by operating the artificial neural networks (ANNs), global scheme as genetic algorithm (GA) along with the rapid local search sequential quadratic programming technique (SQPT), i.e. ANN-GA-SQPT. ANNs are implemented to discretize the fifth kind of induction motor model to express the merit function based on the mean square error. The numerical presentation of the proposed ANN-GA-SQPT is pragmatic for three different problems based on the fifth kind of induction motor model to authenticate the efficacy, consistency and importance of the proposed ANN-GA-SQPT. Moreover, statistical representations are provided in order to check the precision, convergence and accuracy of the present ANN-GA-SQPT.

Suggested Citation

  • Zulqurnain Sabir & Muhammad Asif Zahoor Raja & S. R. Mahmoud & Juan L. G. Guirao & Juan M. Sã Nchez, 2022. "A Heuristic Computing Approach Using Sequential Quadratic Programming To Solve The Fifth Kind Of Induction Motor Model," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 30(10), pages 1-13, December.
    • Handle: RePEc:wsi:fracta:v:30:y:2022:i:10:n:s0218348x2240240x
    DOI: 10.1142/S0218348X2240240X
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