Title :
Virtual Reference Feedback Tuning (VRFT) of velocity controller in self-balancing industrial manual manipulators
Author :
Previdi, F. ; Fico, F. ; Belloli, D. ; Savaresi, S.M. ; Pesenti, I. ; Spelta, C.
Author_Institution :
Dipt. di Ing. dell´Inf. e Metodi Matematici, Univ. degli Studi di Bergamo, Dalmine, Italy
fDate :
June 30 2010-July 2 2010
Abstract :
Self-balancing manual manipulators are devices that countervail the weight of a load that must be manually handled and moved by a human operator. An electric motor delivers the force needed to control the velocity of a spool with a metallic rope to which the load is hanged. This work concerns the tuning of the DC electric motor velocity controller. Specifically, Virtual Reference Feedback Tuning has been applied, which provides controller parameter tuning in a completely automatic way based on a single I/O batch measurement on the plant. The tuned controller shows good tracking performances and good robustness to variation in the applied load.
Keywords :
control engineering computing; industrial manipulators; state feedback; velocity control; DC electric motor; I/O batch measurement; VRFT; electric motor; self balancing industrial manual manipulators; velocity controller; virtual reference feedback tuning; Automatic control; Control design; Control systems; Electric motors; Feedback; Humans; Industrial control; Manipulators; Open loop systems; Velocity control;
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-7426-4
DOI :
10.1109/ACC.2010.5531358