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
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;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714271
