Inverted Pendulum System Modeling and Fuzzy Neural Networks Control
2012 ◽
Vol 268-270
◽
pp. 1371-1375
Keyword(s):
Inverted pendulum on a cart poses a challenging control problem. It seems to have been one of attractive tools for testing linear and nonlinear control laws. In this paper, we adopt PID and the adaptive neural network based fuzzy inference method to control the inverted pendulum, combined the fuzzy control into the neural control. This method can improve the capability of the fuzzy controller through learning the data of PID controller to train the fuzzy controller. When the model parameters were changed, the adaptive neural network based fuzzy inference system had good adopt ability to anti-interfere. The cart can go to the destine position exactly.
2017 ◽
Vol 6
(4)
◽
pp. 21-32
Keyword(s):
2018 ◽
Vol 8
(5)
◽
pp. 3657
◽
2013 ◽
Vol 765-767
◽
pp. 2004-2007
2018 ◽
Vol 2
(3/4)
◽
pp. 313
◽
2011 ◽
Vol 11
(5)
◽
pp. 3962-3975
◽