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Ali Taieb
Saad Dahlab University
Computer Science & IT Electrical & Electronics Engineering

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A New design of fuzzy logic controller optimized By PSO-SCSO applied To SFO-DTC induction motor drive Ali Taieb; Abdellaziz Ferdjouni
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 6: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (912.916 KB) | DOI: 10.11591/ijece.v10i6.pp5813-5823

Abstract

In this paper, a new strategy for the design of fuzzy logic controllers (FLC) is proposed. This strategy is based on the optimization, by the particle swarm optimization (PSO) Algorithm and by sine-cosine based swarm optimization (SCSO) Algorithm, of the input-output gains and the geometric forms of the triangular membership functions of the proposed FLC. This latter is obtained by the minimizing a cost function based on combining two criterions, the Integral Time Absolute Error (ITAE) and Integral Absolute Error (IAE). A comparison, between the conventional FLC and the proposed FLC is carried out. The PSO-FLC shows a remarkable improvement in the performances of the controlled induction motor.
Co-Authors Abdellaziz Ferdjouni