Conical Tank Level Supervision using a Fractional Order Model Reference Adaptive Control Strategy

Hanane Balaska, Samir Ladaci, Youcef Zennir

2018

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.

Paper Citation

in Harvard Style

Balaska H., Ladaci S. and Zennir Y. (2018). Conical Tank Level Supervision using a Fractional Order Model Reference Adaptive Control Strategy.In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-321-6, pages 214-221. DOI: 10.5220/0006869602140221

in Bibtex Style

@conference{icinco18,
author={Hanane Balaska and Samir Ladaci and Youcef Zennir},
title={Conical Tank Level Supervision using a Fractional Order Model Reference Adaptive Control Strategy},
booktitle={Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2018},
pages={214-221},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006869602140221},
isbn={978-989-758-321-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Conical Tank Level Supervision using a Fractional Order Model Reference Adaptive Control Strategy
SN - 978-989-758-321-6
AU - Balaska H.
AU - Ladaci S.
AU - Zennir Y.
PY - 2018
SP - 214
EP - 221
DO - 10.5220/0006869602140221