Title :
Motion mode control in double inverted pendulum system
Author :
Xiao, Jun ; Zhang, Shi ; Xiao, Jizhong ; Xi, Ning
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Abstract :
This paper presents a motion mode control method for double inverted pendulum system which is based on fuzzy logic and neural network. Inverted pendulum is well known as a testing bed for various controller. However, it is very difficult to design and realize a single stage fuzzy controller for the inverted pendulum system because of system multivariable. After the description of the double inverted pendulum system, a fuzzy neural controller is presented which is based on the proposed fuzzy composed variable and the parameters are optimized by back propagation algorithm in neural network. Then motion modes of the system are defined and adjusted online. Experimental implementation and testing prove its validity
Keywords :
backpropagation; fuzzy control; fuzzy logic; motion control; neurocontrollers; nonlinear control systems; pendulums; back propagation algorithm; double inverted pendulum system; fuzzy logic; fuzzy neural control; motion mode control; neural network; Control systems; Educational institutions; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Mathematical model; Mechanical variables control; Motion control; Neural networks; Testing;
Conference_Titel :
Advanced Intelligent Mechatronics. Proceedings, 2005 IEEE/ASME International Conference on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-9047-4
DOI :
10.1109/AIM.2005.1511112