Contour control of mechatronic servo systems using chaotic neural networks

Author

Kim, Sang-Hee ; Choi, Won-Yong ; Chai, Chang-Hyun ; Lee, Sang-Jae ; Choi, Han-Go

Author_Institution

Sch. of Electron. Eng., Kumoh Nat. Univ. of Tech., South Korea

Volume

3

fYear

1998

fDate

4-9 May 1998

Firstpage

2122

Abstract

This paper investigates contour control of mechatronic servo systems using chaotic neural networks (CNNs). For controlling the trajectories of a X-Y table, control system uses direct adaptive control strategy with modified chaotic neural networks. The proposed controller demonstrates accurate tracking of the planned contour path and also shows excellent performance on convergence and final error comparing with recurrent neural network (RNN) controller

Keywords

adaptive control; chaos; convergence; mechatronics; neurocontrollers; position control; servomechanisms; CNN; X-Y table; chaotic neural networks; contour control; convergence; direct adaptive control strategy; final error; mechatronic servo systems; trajectory control; Adaptive control; Cellular neural networks; Chaos; Control systems; Convergence; Error correction; Mechatronics; Neural networks; Recurrent neural networks; Servomechanisms;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7576

Print_ISBN

0-7803-4859-1

Type

conf

DOI

10.1109/IJCNN.1998.687187

Filename

687187