DocumentCode :
2860362
Title :
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
Link To Document :
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