DocumentCode :
2437571
Title :
Stabilization of inverted pendulum by neuro-control
Author :
Omatu, Sigeru ; Ide, Tatuya
Author_Institution :
Dept. of Inf. Sci. & Intelligent Syst., Tokushima Univ., Japan
Volume :
4
fYear :
1994
fDate :
27 Jun-2 Jul 1994
Firstpage :
2367
Abstract :
In this paper, we consider stabilization of an inverted pendulum which can be controlled by moving a cart in an intelligent way. Here we adopt a fuzzy control to swing up the pendulum from the bottom and switch the control law from fuzzy control to linear quadratic optimal control after the pendulum approaches to an upper position. But there is some fluctuation or offset in a position even if we use the linear quadratic control law. In order to remove these phenomena, we use a neuro-controller. The experimental results show the effectiveness of the present approach
Keywords :
control system analysis; fuzzy control; intelligent control; linear quadratic control; neurocontrollers; stability; fuzzy control; intelligent control; inverted pendulum; linear quadratic optimal control; neurocontrol; stabilization; Control systems; Friction; Fuzzy control; Gravity; Information science; Intelligent systems; Microcomputers; Optimal control; Position measurement; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
Type :
conf
DOI :
10.1109/ICNN.1994.374589
Filename :
374589
Link To Document :
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