Robust control of a mobile inverted pendulum robot using a RBF neural network controller

2009 ◽  
Author(s):  
Jin Seok Noh ◽  
Geun Hyeong Lee ◽  
Ho Jin Choi ◽  
Seul Jung
Keyword(s):  
Neural Network ◽  
Robust Control ◽  
Inverted Pendulum ◽  
Rbf Neural Network ◽  
Neural Network Controller ◽  
Network Controller

The Application of Double Closed-Loop Unit Gain Negative Feedback and BP Neural Network Controller in Single Inverted Pendulum

2012 ◽  
Vol 490-495 ◽  
pp. 1723-1727
Author(s):  
Jun Ting Wang ◽  
Guo Ping Liu ◽  
Wei Jin ◽  
Gen Fu Xiao
Keyword(s):  
Neural Network ◽  
Mathematical Model ◽  
Negative Feedback ◽  
Bp Neural Network ◽  
Closed Loop ◽  
Inverted Pendulum ◽  
Root Locus ◽  
Neural Network Controller ◽  
Network Controller ◽  
The Mathematical Model

In the paper the mathematical model of the single inverted pendulum is established, on the base of the root locus and the control tasks the control system is made up of double closed-loop unit gain negative feedback and BP neural network controller. The results show that the inverted pendulum is efficiently controlled.

Application of BP Neural Network Controller on Inverted Pendulum

2013 ◽  
Vol 328 ◽  
pp. 72-76
Author(s):  
Huan Xin Cheng ◽  
Dao Sheng Zhang ◽  
Li Cheng
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Inverted Pendulum ◽  
Network Control ◽  
Coupled Systems ◽  
Control Effect ◽  
Strongly Coupled ◽  
Neural Network Controller ◽  
Network Controller ◽  
The Mathematical Model

The traditional PID control, which is based on linearization, is often hard to obtain the optimal control effect on such nonlinear, multiple-output, strongly coupled systems like inverted pendulum. To solve the problem above, the BP neural network controller was developed for inverted pendulum. On the basis of establishing and analyzing the mathematical model of single inverted-pendulum, this paper established the state space expression, and then designed a neural network control system based on BP algorithm. The simulation was researched by Matlab and the running results show that this control has good robustness and can achieve satisfactory control effect.

RBF Neural Network Controller Research Based on AFSA algorithm

2013 ◽  
Author(s):  
Qing-kun Song ◽  
◽  
Meng-meng Xu ◽  
Yi Liu ◽  
◽  
...  
Keyword(s):  
Neural Network ◽  
Rbf Neural Network ◽  
Neural Network Controller ◽  
Network Controller
Sign in / Sign up

Export Citation Format

Share Document