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Actuator fault tolerance evaluation approach of nonlinear model predictive control systems using viability theory

Author
Ghaniee Zarch, M.; Puig, V.; Poshtan, J.
Type of activity
Journal article
Journal
Journal of process control
Date of publication
2018-11-01
Volume
71
First page
35
Last page
45
DOI
https://doi.org/10.1016/j.jprocont.2018.08.006 Open in new window
Repository
http://hdl.handle.net/2117/130314 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S0959152418302543 Open in new window
Abstract
In this paper, an approach to evaluate the actuator fault tolerance of a nonlinear model predictive control (NMPC) system using viability theory is proposed. Viability theory provides several concepts formulated in a set form (viability kernel and capture basin) that are very useful to assess if after the fault the NMPC controller will be able to achieve their goal either using a reconfiguration or an accommodation strategy. By representing the nonlinear model of the system in a linear parameter...
Citation
Ghaniee Zarch, M.; Puig, V.; Poshtan, J. Actuator fault tolerance evaluation approach of nonlinear model predictive control systems using viability theory. "Journal of process control", 1 Novembre 2018, vol. 71, p. 35-45.
Keywords
Fault tolerance evaluation, Linear parameter varying system, Model predictive control, Set invariance theory, Viability theory
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants