What does learning control have to offer for your machine? A lot! We will demonstrate it on industrial printers

R. de Rozario, N.W.A. Strijbosch, L.L.G. Blanken, S.H. Koekebakker, Tom Oomen

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademic

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Improvements in motion control are a key step towards meeting tightening requirements on throughput and accuracy in future industrial machines. Typically, a combination of traditional feedback and feedforward controllers is employed, which remain fixed throughout the life-cycle of the system. Learning control enables a significant performance increase over feedback and feedforward control by
learning from past data, to anticipate and compensate for repeating components of the error. These disturbances include known setpoint signals and unknown disturbances, such as friction and hysteresis.
Although important progress has been made in theory and design of learning controllers, its full potential for industrial mechatronic applications is largely unexploited [1]. This is partly due to several former
shortcomings of learning control. The aim of this work is to provide a concise overview of recent advances in learning control that are particularly tailored towards successful industrial implementation, and reveal to the interested reader what learning control has to offer for his/her particular problem at hand.
Originele taal-2Engels
TitelConference on Precision Mechatronics
Aantal pagina's1
StatusGepubliceerd - 4 sep 2018
Evenement2018 DSPE Conference on Precision Mechatronics (DSPE2018) - De Ruwenberg, Sint Michielsgestel, Nederland
Duur: 4 sep 20185 sep 2018


Congres2018 DSPE Conference on Precision Mechatronics (DSPE2018)
Verkorte titelDSPE 2018
StadSint Michielsgestel
Internet adres


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