Robust adaptive control of a linear motor stage including feedback GMS friction compensation

This work presents a robust adaptive controller for a linear motor stage that can be subjected to variations in the transported mass and to the expected changes in friction force. The adaptive feedback friction compensation is based on the Generalized Maxwell-Slip (GMS) model, which is transformed first to a more convenient form for adaptive control. Lyapunov stability results are given, taking into consideration the switching dynamics associated to the GMS model. Finally, the proposed controller is tested on an experimental setup, showing its capability to maintain tracking performance for variations in mass, in contrast to a non-adaptive robust controller also with feedback GMS friction compensation, developed in a previous work.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
Published
2026-04-07
DOI
https://doi.org/10.1177/09596518261420378
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Robust adaptive control of a linear motor stage including feedback GMS friction compensation

Rogelio L. Hecker, Fernando Villegas, Alejandro Masante
Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
Iterative Learning Control Systems
article

Robust adaptive control of a linear motor stage including feedback GMS friction compensation

Rogelio L. Hecker, Fernando Villegas, Alejandro Masante
article en

Abstract

This work presents a robust adaptive controller for a linear motor stage that can be subjected to variations in the transported mass and to the expected changes in friction force. The adaptive feedback friction compensation is based on the Generalized Maxwell-Slip (GMS) model, which is transformed first to a more convenient form for adaptive control. Lyapunov stability results are given, taking into consideration the switching dynamics associated to the GMS model. Finally, the proposed controller is tested on an experimental setup, showing its capability to maintain tracking performance for variations in mass, in contrast to a non-adaptive robust controller also with feedback GMS friction compensation, developed in a previous work.

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control EngineeringVol. 240(5)
Consejo Nacional de Investigaciones Científicas y Técnicas (AR), Universidad Nacional de La Pampa (AR)
Universidad Nacional de La Pampa
Openalex Percentile: Top 31%
Iterative Learning Control Systems
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