Title :
Model reference adaptive control with neural network for electro-pneumatic servo system
Author :
Tanaka, Kanya ; Yamada, Yuuji ; Sakamoto, Masaru ; Uchilado, S.
Author_Institution :
Dept. of Electr. & Electron. Eng., Yamaguchi Univ., Ube, Japan
Abstract :
We propose a design scheme which combines model reference adaptive control with a neural network for the electropneumatic servo system. In this design scheme, the role of the neural network is to compensate for constructing a linearized model of the nonlinear plant of the electropneumatic servo system. The role of the robust adaptive controller is to perform the model-matching for the uncertain linearized model of the plant to a given linear reference model. The effectiveness of the proposed design scheme is confirmed by experiments using the existent electropneumatic servo system
Keywords :
adaptive control; electropneumatic control equipment; model reference adaptive control systems; neurocontrollers; nonlinear systems; robust control; servomechanisms; compensation; electropneumatic servo system; model reference adaptive control; model-matching; neural network; nonlinear systems; robust control; servomechanism; Adaptive control; Control systems; Educational institutions; Friction; Neural networks; Nonlinear control systems; Pistons; Programmable control; Robust control; Servomechanisms;
Conference_Titel :
Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Trieste
Print_ISBN :
0-7803-4104-X
DOI :
10.1109/CCA.1998.721633
