Current optimization for an eleven-phase induction machine under fault conditions using genetic algorithm

A. Ashoush, S. M. Gadoue, Ayman Abdel-Khalik, A. L. Mohamadein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

In this paper, an optimization technique based on Genetic Algorithm (GA) is proposed to calculate the optimum phase currents of a multi-phase induction machine under phase(s) loss to maintain the same Magneto-Motive Force (MMF) distribution as with the healthy case. Conventional optimization method requires solving complex nonlinear equations. Moreover, constraints should be selected such that the number of solved equations equals the variables number to obtain a unique solution. The problem becomes complicated as the number of disconnected phases is more than two. Genetic algorithm is used to solve such optimization problem since it does not involve solving nonlinear equations. Comparison between the conventional optimization technique and GA is carried out using finite element analysis which simulates the machine flux corresponding to each optimum solution.

Original languageEnglish
Title of host publicationSDEMPED 2011 - 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives
Pages529-534
Number of pages6
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2011 - Bologna, Italy
Duration: 5 Sep 20118 Sep 2011

Other

Other8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2011
CountryItaly
CityBologna
Period5/9/118/9/11

Fingerprint

Genetic algorithms
Nonlinear equations
Fluxes
Finite element method

Keywords

  • fault conditions
  • finite element analysis
  • genetic algorithm
  • Multi-phase machine
  • phase loss

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Ashoush, A., Gadoue, S. M., Abdel-Khalik, A., & Mohamadein, A. L. (2011). Current optimization for an eleven-phase induction machine under fault conditions using genetic algorithm. In SDEMPED 2011 - 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (pp. 529-534). [6063674] https://doi.org/10.1109/DEMPED.2011.6063674

Current optimization for an eleven-phase induction machine under fault conditions using genetic algorithm. / Ashoush, A.; Gadoue, S. M.; Abdel-Khalik, Ayman; Mohamadein, A. L.

SDEMPED 2011 - 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives. 2011. p. 529-534 6063674.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ashoush, A, Gadoue, SM, Abdel-Khalik, A & Mohamadein, AL 2011, Current optimization for an eleven-phase induction machine under fault conditions using genetic algorithm. in SDEMPED 2011 - 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives., 6063674, pp. 529-534, 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2011, Bologna, Italy, 5/9/11. https://doi.org/10.1109/DEMPED.2011.6063674
Ashoush A, Gadoue SM, Abdel-Khalik A, Mohamadein AL. Current optimization for an eleven-phase induction machine under fault conditions using genetic algorithm. In SDEMPED 2011 - 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives. 2011. p. 529-534. 6063674 https://doi.org/10.1109/DEMPED.2011.6063674
Ashoush, A. ; Gadoue, S. M. ; Abdel-Khalik, Ayman ; Mohamadein, A. L. / Current optimization for an eleven-phase induction machine under fault conditions using genetic algorithm. SDEMPED 2011 - 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives. 2011. pp. 529-534
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