DocumentCode
2755416
Title
Design and Simulation of Theodolite DC Servo Control System Based on Neural Network
Author
Li, Hongwen ; Li, Yuanchun ; Li, Shoutao
Author_Institution
Dept. of Control Sci. & Eng., Jilin Univ., Changchun
Volume
2
fYear
0
fDate
0-0 0
Firstpage
6183
Lastpage
6187
Abstract
According to analysis of the nonlinearities and uncertainties of the theodolite DC servo control system, the RBF and CMAC+PD hybrid neural networks are proposed, and the effectiveness of the control algorithm and the simulations are verified. This has proved that it can be used in many other control fields
Keywords
DC motors; cerebellar model arithmetic computers; machine control; neurocontrollers; radial basis function networks; servomotors; theodolites; CMAC+PD hybrid neural networks; RBF neural networks; servocontrol; theodolite DC servo control system; Control systems; DC motors; Neural networks; Nonlinear control systems; Process control; Pulse width modulation; Servomechanisms; Servomotors; Servosystems; Theodolites; CMAC neural network; RBF neural network; servo control; theodolite;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location
Dalian
Print_ISBN
1-4244-0332-4
Type
conf
DOI
10.1109/WCICA.2006.1714271
Filename
1714271
Link To Document