Title :
Modeling and PID neural network research for the ball and plate system
Author :
Fei, Zheng ; Xiaolong, Qian ; Xiaoli, Li ; Shangjun, Wang
Author_Institution :
Sch. of Autom. & Electr. Eng., USTB, Beijing, China
Abstract :
By using Lagrange equations, the mathematical model and simplified model of the ball and plate system are derived effectively. Base on this simplified model, a PID control strategy based RBF neural network tuning scheme is proposed for position control of the ball and plate system, and simulation study is made. The simulation results show that the control scheme given in this paper is feasible, the output of the system can track the set point value approximately.
Keywords :
mathematical analysis; multivariable control systems; neurocontrollers; nonlinear control systems; position control; three-term control; Lagrange equations; PID neural network research; RBF neural network; ball system; mathematical model; multivariable nonlinear system; plate system; position control; Educational institutions; Equations; Kinetic energy; Mathematical model; Tuning; Vectors; PID; RBF neural network; ball and plate system;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6067840
