Reliable control of a twin rotor MIMO system using actuator health monitoring

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dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor	Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor	Universitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control
dc.contributor.author	Salazar Cortés, Jean Carlo
dc.contributor.author	Nejjari Akhi-Elarab, Fatiha
dc.contributor.author	Sarrate Estruch, Ramon
dc.date	2014
dc.identifier.citation	Salazar, J.; Nejjari, F.; Sarrate, R. Reliable control of a twin rotor MIMO system using actuator health monitoring. A: Mediterranean Conference on Control & Automation. "2014 22nd Mediterranean Conference on Control and Automation (MED) : University of Palermo : June 16-19, 2014. Palermo, Italy". Palermo: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 481-486.
dc.identifier.citation	978-1-4799-5901-3
dc.identifier.citation	978-1-4799-5899-3/14
dc.identifier.uri	http://hdl.handle.net/2117/26284
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject	MIMO system
dc.subject	Model predictive control
dc.title	Reliable control of a twin rotor MIMO system using actuator health monitoring
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	This paper presents a Model Predictive Control (MPC) approach that permits distributing the control effort among actuators using health actuator information and exploiting some relations between control effort and actuator degradation. Tuning the control input weighting factors in the MPC cost function or imposing degradation constraints enable ensuring that the degradation will remain below a safety threshold until a maintenance intervention can be carried out. To assess the performance of the proposed approach a two degree of freedom helicopter simulator is used.
dc.description.abstract	Peer Reviewed

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