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