Fractional order model reference adaptive control for SCARA robot trajectory tracking

Yassine Bensafia 1 Samir Ladaci 2 Khatir Khettab 3 Ahmed Chemori 4
1 UMAOB - Université Mohamed Akli Ouelhadj de Bouira
2 ENS Constantine - École normale supérieure - Constantine
3 Université Mohamed Boudiaf de M'sila
4 DEXTER - Conception et commande de robots pour la manipulation
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : This paper proposes a new control strategy to the problem of trajectory tracking of SCARA robotic manipulator system by using a fractional order model reference adaptive controller (FMRAC) for sufficiently smooth trajectories. Over the few last years the idea of introducing fractional calculus and systems in adaptive control has found a great interest, for the benefits one can win in the performances given by such systems. The main contribution of this paper, is to show that the proposed fractional adaptive controller is able to reduce the delay time and the overshoot existing in classical control approach. Simulation results illustrate the effectiveness of the proposed control approach comparatively to the classical integer order one.
Document type :
Journal articles
Liste complète des métadonnées
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01887395
Contributor : Ahmed Chemori <>
Submitted on : Thursday, October 4, 2018 - 9:53:00 AM
Last modification on : Wednesday, October 24, 2018 - 1:20:46 AM
Document(s) archivé(s) le : Saturday, January 5, 2019 - 1:20:25 PM

File

Appeared_IJISE300202 LADACI.pd...
Publisher files allowed on an open archive

Identifiers

Collections

LIRMM | TDS-MACS | DEXTER | MIPS | UNIV-MONTPELLIER

Citation

Yassine Bensafia, Samir Ladaci, Khatir Khettab, Ahmed Chemori. Fractional order model reference adaptive control for SCARA robot trajectory tracking. International Journal of Industrial and Systems Engineering, Inderscience, 2018, 30 (2), pp.138-156. ⟨10.1504/IJISE.2018.094839⟩. ⟨lirmm-01887395⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

108

Files downloads

1

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD