DocumentCode
2804643
Title
Adaptive pole-placement control with multi-rate type neural network for pneumatic servo system
Author
Yamada, Yuji ; Tanaka, Kana ; Uchikado, Shigeni
Author_Institution
Dept. of Mech. Eng., Kure Inst. Nat. Coll., Japan
fYear
2000
fDate
2000
Firstpage
190
Lastpage
195
Abstract
We propose a design scheme which combines an adaptive pole-placement control with a neural network (NN) for the pneumatic servo system. In this design scheme, we adopt a multi-rate type NN in which an update-time of weights is selected as multiple of a sampling-time. The effectiveness of the proposed design scheme is confirmed by experiments using the existent pneumatic servo system
Keywords
adaptive control; control system synthesis; neurocontrollers; pneumatic control equipment; pole assignment; servomechanisms; adaptive control; neural network; neurocontrol; pneumatic servo system; pole-placement; sampling-time; Adaptive control; Awards Planning & Policy Committee; Control systems; Friction; Neural networks; Optimal control; Pistons; Programmable control; Servomechanisms; Three-term control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, 2000. Proceedings of the 2000 IEEE International Conference on
Conference_Location
Anchorage, AK
Print_ISBN
0-7803-6562-3
Type
conf
DOI
10.1109/CCA.2000.897422
Filename
897422
Link To Document