A design of non-linear electro-pneumatic servo systems by using neural-net based linearizer with off-line learning algorithm

Author

Oki, Toshitaka ; Tanaka, Kanya ; Yamamoto, Toru ; Uchibori, Akihiko ; Oka, Masato

Author_Institution

Dept. of Mech. Eng., Ube Nat. Coll. of Technol., Japan

Volume

1

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

968

Lastpage

973

Abstract

Many electro-pneumatic servo systems have strong nonlinear property because of compressible air in cylinders. To control their systems, a neural network(NN) based linearizer with off line learning is proposed. The augmented system which consists of the controlled object and the linearizer is controlled by a linear controller. The point of the learning algorithm of the NN is to estimate from the actual input of the controlled object to the input of the augmented object directly

Keywords

control system synthesis; discrete time systems; electropneumatic control equipment; learning (artificial intelligence); linear systems; linearisation techniques; multilayer perceptrons; neurocontrollers; nonlinear control systems; servomechanisms; SISO discrete time linear system; controlled object; learning algorithm; linear controller; neural-net based linearizer; nonlinear electro-pneumatic servo systems; off-line learning algorithm; strong nonlinear property; Adaptive control; Control engineering education; Control systems; Educational technology; Engine cylinders; Linear systems; Neural networks; Nonlinear systems; Servomechanisms; Systems engineering education;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on

Conference_Location

Honolulu, HI

ISSN

1098-7576

Print_ISBN

0-7803-7278-6

Type

conf

DOI

10.1109/IJCNN.2002.1005606

Filename

1005606