<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>The concept of combining robust fault estimation within a controller system to achieve active Fault Tolerant Control (FTC) has been the subject of considerable interest in the recent literature. The current study is motivated by the need to develop model-based FTC schemes for systems that have no unique equilibria and are therefore difficult to linearise. Linear Parameter Varying (LPV) strategies are well suited to model-based control and fault estimation for such systems. This contribution involves pole-placement within suitable LMI regions, guaranteeing both stability and performance of a multi-fault LPV estimator employed within an FTC structure. The proposed design strategy is illustrated using a nonlinear two-link manipulator system with friction forces acting simultaneously at each joint. The friction forces, regarded as a special case of actuator faults, are estimated and their effect is compensated within a polytope controller system, yielding a robust form of active FTC that is easy to apply to real robot systems.</p></abstract>

The concept of combining robust fault estimation within a controller system to achieve active Fault Tolerant Control (FTC) has been the subject of considerable interest in the recent literature. The current study is motivated by the need to develop model-based FTC schemes for systems that have no unique equilibria and are therefore difficult to linearise. Linear Parameter Varying (LPV) strategies are well suited to model-based control and fault estimation for such systems. This contribution involves pole-placement within suitable LMI regions, guaranteeing both stability and performance of a multi-fault LPV estimator employed within an FTC structure. The proposed design strategy is illustrated using a nonlinear two-link manipulator system with friction forces acting simultaneously at each joint. The friction forces, regarded as a special case of actuator faults, are estimated and their effect is compensated within a polytope controller system, yielding a robust form of active FTC that is easy to apply to real robot systems.

An LPV pole-placement approach to friction compensation as an FTC problem

Department of Engineering, University of Hull, Cottingham, Hull, HU6 7RX, UK

Synchrotron Light Research Institute (SLRI), P.O. Box 93, Nakhon-Ratchasima, 30000, Thailand

International Journal of Applied Mathematics and Computer Science

{"article-title":"An LPV pole-placement approach to friction compensation as an FTC problem"}

The concept of combining robust fault estimation within a controller system to achieve active Fault Tolerant Control (FTC) has been the subject of considerable...

An LPV pole-placement approach to friction compensation as an FTC problem

Publié en ligne: 22 mars 2012

Pages: 149 - 160

DOI: https://doi.org/10.2478/v10006-012-0011-z

Mots clés
friction, linear parameter varying, fault detection and diagnosis, linear matrix inequality, pole-placement

This content is open access.

An LPV pole-placement approach to friction compensation as an FTC problem

Publié en ligne: 22 mars 2012

Pages: 149 - 160

DOI: https://doi.org/10.2478/v10006-012-0011-z

Mots clésfriction, linear parameter varying, fault detection and diagnosis, linear matrix inequality, pole-placement

This content is open access.

Mots clés
friction, linear parameter varying, fault detection and diagnosis, linear matrix inequality, pole-placement