DocumentCode :
393469
Title :
Model reference adaptive control using delta-operator with neural network for pneumatic servo system
Author :
Sakamoto, Masaru ; Matsushita, Tadashi ; Mizukami, Yoshiki ; Tanaka, Kanya
Author_Institution :
Ind. Res. Centre of Ehime Prefecture, Matsuyama, Japan
Volume :
2
fYear :
2002
fDate :
5-7 Aug. 2002
Firstpage :
771
Abstract :
Pneumatic servo systems have non-linear elements essentially caused by air compressibility, various frictions and so on. Therefore it is difficult to accomplish savory control performance by conventional adaptive control. In this paper we propose a design scheme which combines a model reference adaptive control using delta-operator with neural network for pneumatic servo system to overcome the influence of non-linearity.
Keywords :
model reference adaptive control systems; neural nets; pneumatic control equipment; servomechanisms; delta-operator; model reference adaptive control; neural network; pneumatic servo system; Adaptive control; Neural networks; Servomechanisms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
Type :
conf
DOI :
10.1109/SICE.2002.1195254
Filename :
1195254
Link To Document :
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