Title :
Model reference adaptive control with multi-rate type neural network for electro-pneumatic servo system
Author :
Tanaka, Kanya ; Yamada, Yuji ; Satoh, Taiji ; Uchibori, Akihiko ; Uchikado, Shigeru
Author_Institution :
Dept. of Electr. & Electron. Eng., Yamaguchi Univ., Ube, Japan
Abstract :
In this paper, we propose a design scheme which combines a model reference adaptive control with a neural network (NN) for the electropneumatic servo system. In this design scheme, we adopt a multirate 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 electropneumatic servo system
Keywords :
control system synthesis; electropneumatic control equipment; model reference adaptive control systems; multivariable control systems; neurocontrollers; servomechanisms; MRAC; control design; electropneumatic servo system; model reference adaptive control; multirate type neural network; neural control; sampling-time; weight update-time; Adaptive control; Control systems; Educational institutions; Equations; Friction; Neural networks; Pistons; Polynomials; Programmable control; Servomechanisms;
Conference_Titel :
Control Applications, 1999. Proceedings of the 1999 IEEE International Conference on
Conference_Location :
Kohala Coast, HI
Print_ISBN :
0-7803-5446-X
DOI :
10.1109/CCA.1999.801230
