Authors:
Hanane Balaska
1
;
Samir Ladaci
2
and
Youcef Zennir
3
Affiliations:
1
Department of Science and Technology, University Larbi Ben Mhidi, Oum El-Bouaghi, 04000 and Algeria
;
2
Department of E.E.A., National Polytechnic School of Constantine, BP 75 A, Nouvelle ville Ali Mendjli, 25100 Constantine and Algeria
;
3
Department of Petrochemistry, University of Skikda, Route d’Elhadaiek, BP 26, Skikda 21000 and Algeria
Keyword(s):
Model Reference Adaptive Control, Fractional Order System, Fractional Integration, Direct Auto Adjustable Control, Non Linear System, Robustness, Parametric Variation.
Related
Ontology
Subjects/Areas/Topics:
Adaptive Signal Processing and Control
;
Control and Supervision Systems
;
Engineering Applications
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Nonlinear Signals and Systems
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
This paper proposes a fractional order model reference adaptive control (FO-MRAC) design in order to command the level of a conical tank system. The FO-MRAC is based on the choice of a fractional reference model which specifies the closed loop desired performances. Also, the control strategy adopted introduces fractional integration in the phase of corrector parameters updating. Model reference adaptive controller of integer order and of fractional order are applied to the non linear system and compared. From the simulation results, we concluded that FO-MRAC is the controller presenting the best performances, and especially in case of measurements noise, and parametric variations.