An educational approach to the internal model principle for periodic signals

This article presents an educational approach to resonant control and repet- itive control, which are Internal Model Principle-based control techniques speci cally de- signed for the tracking/rejection of periodic signals. The analytical formulation is com- pleted by a set of simulations and physica...

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Detalles Bibliográficos
Autores: Costa Castelló, Ramon|||0000-0003-2553-5901, Olm Miras, Josep Maria|||0000-0003-4925-9251, Vargas, Hector, Ramos Fuentes, Germán Andrés
Tipo de recurso: artículo
Fecha de publicación:2012
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/17575
Acceso en línea:https://hdl.handle.net/2117/17575
Access Level:acceso abierto
Palabra clave:Automatic control
Control education
Distance learning
Internal model principle
Repetitive control
Resonant control
Virtual/remote laboratory
Control automàtic
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Descripción
Sumario:This article presents an educational approach to resonant control and repet- itive control, which are Internal Model Principle-based control techniques speci cally de- signed for the tracking/rejection of periodic signals. The analytical formulation is com- pleted by a set of simulations and physical experiments on a mechatronic educational plant integrated in a virtual/remote laboratory. The laboratory features are oriented to realize the limited performance of classic PID control to reject non-constant disturbances and, at the same time, to show the effectiveness of the Internal Model Principle for the rejection of periodic disturbances by means of resonators and repetitive control. Assess- ment based on students' perception reveals it as a useful distance learning tool. The laboratory is integrated in Automatl@bs, a Spanish interuniversity network of web-based laboratories devoted to distance learning of control engineering.