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An Artificial Bee Optimization Based on Command Filtered CDM-Backstepping for Electro-Pneumatic System
Author(s) -
Fouad Haouari,
Rabah Gouri,
Noureddine Bali,
Mohamed Tadjine,
Mohamed Seghir Boucherit
Publication year - 2019
Publication title -
periodica polytechnica. electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.158
H-Index - 13
eISSN - 2064-5279
pISSN - 2064-5260
DOI - 10.3311/ppee.14077
Subject(s) - backstepping , robustness (evolution) , control theory (sociology) , control engineering , computer science , engineering , artificial intelligence , adaptive control , control (management) , gene , biochemistry , chemistry
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.

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