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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Employment of parametrized terminal sets for infeasibility handling in predictive control

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Author(s):
Rubens Junqueira Magalhães Afonso [1] ; Roberto Kawakami Harrop Galvão [2]
Total Authors: 2
Affiliation:
[1] Instituto Tecnológico de Aeronáutica. Divisão de Engenharia Eletrônica - Brasil
[2] Instituto Tecnológico de Aeronáutica. Divisão de Engenharia Eletrônica - Brasil
Total Affiliations: 2
Document type: Journal article
Source: Sba : Controle & Automação; v. 23, n. 6, p. 653-666, 2012-12-00.
Abstract

Terminal constraints are usually employed in predictive control formulations to provide closed-loop stability guarantees. However, such guarantees are lost if the associated optimization problem is not feasible from the beginning or if it becomes infeasible due to the onset of faults, for example. This work presents an approach involving setpoint management and relaxation of operational constraints to address infeasibility problems in predictive control. It is assumed that infeasibility may occur either at the beginning of the control task, due to an adverse initial condition, or as the result of an actuator fault that reduces the range of admissible control values. The proposed approach involves the parametrization of the maximal output admissible set (MAS) employed as terminal constraint in the control law. This parametrization avoids the need to repeat the MAS determination during the infeasibility handling procedure. For illustration purposes, a case study involving a simulation model is presented. (AU)

FAPESP's process: 09/12674-0 - Predictive control with tolerance to actuator faults
Grantee:Rubens Junqueira Magalhães Afonso
Support Opportunities: Scholarships in Brazil - Master
FAPESP's process: 06/58850-6 - Diagnosis, prognosis and fault accommodation for dynamical systems
Grantee:Takashi Yoneyama
Support Opportunities: Research Projects - Thematic Grants