An Artificial Bee Optimization Based on Command Filtered CDM-Backstepping for Electro-Pneumatic System

Authors

  • Fouad Haouari
    Affiliation
    Department of Industrial Engineering and Maintenance, Ecole Nationale Supérieure de Technologie (ENST), Cité Diplomatique, Ex Centre Biomédical, Dergana, Bordj El Kiffan, 16078 Algiers, Algeria
  • Rabah Gouri
    Affiliation
    Department of Industrial Engineering and Maintenance, Ecole Nationale Supérieure de Technologie (ENST), Cité Diplomatique, Ex Centre Biomédical, Dergana, Bordj El Kiffan, 16078 Algiers, Algeria
  • Nourdine Bali
    Affiliation
    Department of Electrical Engineering, Faculty of Electronics and Computer Science, University of Sciences and Technology Houari Boumediene (USTHB), 16111 Algiers, Bab Ezzouar, P. O. B. 32, Algeria
  • Mohamed Tadjine
    Affiliation
    Process Control Laboratory, Department of Electrical Engineering, Ecole Nationale Polytechnique (ENP), 10 Avenue Hassan Badi, El Harrach, 16200 Algiers, Algeria
  • Mohamed Seghir Boucherit
    Affiliation
    Process Control Laboratory, Department of Electrical Engineering, Ecole Nationale Polytechnique (ENP), 10 Avenue Hassan Badi, El Harrach, 16200 Algiers, Algeria
https://doi.org/10.3311/PPee.14077

Abstract

The proposed manuscript presents a coefficient diagram method (CDM) controller for an electro-pneumatic system. In order to tune the controller parameters, an artificial bee colony (ABC) optimization method is applied. According to the simulation results, the optimized parameters can provide better dynamic and steady state performances and higher robustness to the control algorithm, than the conventional tuned parameters.

Keywords:

artificial bee optimization, command filtered backstepping, coefficients diagram method, pneumatic actuator

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Published Online

2019-08-15

How to Cite

Haouari, F., Gouri, R., Bali, N., Tadjine, M., Boucherit, M. S. “An Artificial Bee Optimization Based on Command Filtered CDM-Backstepping for Electro-Pneumatic System”, Periodica Polytechnica Electrical Engineering and Computer Science, 63(3), pp. 235–241, 2019. https://doi.org/10.3311/PPee.14077

Issue

Vol. 63 No. 3 (2019)

Section

Articles