Robust Combined FOMRAC/PD Adaptive Control Design for Veloce Parallel Robot Using DE Optimization and a Fractional-Order Integrator

In this study a novel PD-FOMRAC adaptive control design is proposed to deal with the Parallel robot Veloce trajectory tracking control. The proposed regulator implies an PD control action with parameters adjustment using the DE optimization technique and a fractional-order MRAC based controller. The Veloce model is detailed and numerical simulation results are performed to illustrate the efficiency of the proposed solution that guarantees an improved robust tracking precision and rapidity performance.

Authors

Institutions

Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/icsc63929.2024.10928729
Citations
1
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robust Combined FOMRAC/PD Adaptive Control Design for Veloce Parallel Robot Using DE Optimization and a Fractional-Order Integrator

Samir Ladaci, Bouchra Khoumeri
1 citations
Iterative Learning Control Systems
0.33
article

Robust Combined FOMRAC/PD Adaptive Control Design for Veloce Parallel Robot Using DE Optimization and a Fractional-Order Integrator

Samir Ladaci, Bouchra Khoumeri
article en
1 citations

Abstract

In this study a novel PD-FOMRAC adaptive control design is proposed to deal with the Parallel robot Veloce trajectory tracking control. The proposed regulator implies an PD control action with parameters adjustment using the DE optimization technique and a fractional-order MRAC based controller. The Veloce model is detailed and numerical simulation results are performed to illustrate the efficiency of the proposed solution that guarantees an improved robust tracking precision and rapidity performance.

Polytechnic School of Algiers (DZ)
Affordable and clean energy
Openalex Percentile: Top 36%
Iterative Learning Control Systems
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.