Implementation of recurrent neural network to control rotational inverted pendulum using IMC scheme
Problem statement: This paper presents an overview of a controller for a Rotational Inverted Pendulum (RIP) based on a New Recurrent Neural Network (NRNN) using Internal Model control (IMC). The RIP consists of a DC servo motor, arm and pendulum. The RIP is modelled in MATLAB/Simulink and the simula...
Saved in:
| Main Authors: | , , , |
|---|---|
| 格式: | Article |
| 出版: |
Elsevier
2012
|
| 主题: | |
| 在线阅读: | http://eprints.utm.my/id/eprint/33922/ http://www.ajbasweb.com/old/ajbas/2012/July/299-306.pdf |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
| id |
my.utm.33922 |
|---|---|
| record_format |
eprints |
| spelling |
my.utm.339222019-03-31T08:31:08Z http://eprints.utm.my/id/eprint/33922/ Implementation of recurrent neural network to control rotational inverted pendulum using IMC scheme Shojaei, A. A. Othman, Mohd. Fauzi Rahmani, R. Rani, M. R. TK Electrical engineering. Electronics Nuclear engineering Problem statement: This paper presents an overview of a controller for a Rotational Inverted Pendulum (RIP) based on a New Recurrent Neural Network (NRNN) using Internal Model control (IMC). The RIP consists of a DC servo motor, arm and pendulum. The RIP is modelled in MATLAB/Simulink and the simulation results are shown besides the experimental results. The proposed experiment shows intelligent method for stabilizing the RIP, which can recommend the control designers of nonlinear systems. The outcome exposed that the NRNN controller competent of controlling the RIP system productively, as exposed in the simulation results. Elsevier 2012-07 Article PeerReviewed Shojaei, A. A. and Othman, Mohd. Fauzi and Rahmani, R. and Rani, M. R. (2012) Implementation of recurrent neural network to control rotational inverted pendulum using IMC scheme. Australian Journal of Basic and Applied Sciences, 6 (7). pp. 299-306. ISSN 1991-8178 http://www.ajbasweb.com/old/ajbas/2012/July/299-306.pdf |
| institution |
Universiti Teknologi Malaysia |
| building |
UTM Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Malaysia |
| content_source |
UTM Institutional Repository |
| url_provider |
http://eprints.utm.my/ |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Shojaei, A. A. Othman, Mohd. Fauzi Rahmani, R. Rani, M. R. Implementation of recurrent neural network to control rotational inverted pendulum using IMC scheme |
| description |
Problem statement: This paper presents an overview of a controller for a Rotational Inverted Pendulum (RIP) based on a New Recurrent Neural Network (NRNN) using Internal Model control (IMC). The RIP consists of a DC servo motor, arm and pendulum. The RIP is modelled in MATLAB/Simulink and the simulation results are shown besides the experimental results. The proposed experiment shows intelligent method for stabilizing the RIP, which can recommend the control designers of nonlinear systems. The outcome exposed that the NRNN controller competent of controlling the RIP system productively, as exposed in the simulation results. |
| format |
Article |
| author |
Shojaei, A. A. Othman, Mohd. Fauzi Rahmani, R. Rani, M. R. |
| author_facet |
Shojaei, A. A. Othman, Mohd. Fauzi Rahmani, R. Rani, M. R. |
| author_sort |
Shojaei, A. A. |
| title |
Implementation of recurrent neural network to control rotational inverted pendulum using IMC scheme |
| title_short |
Implementation of recurrent neural network to control rotational inverted pendulum using IMC scheme |
| title_full |
Implementation of recurrent neural network to control rotational inverted pendulum using IMC scheme |
| title_fullStr |
Implementation of recurrent neural network to control rotational inverted pendulum using IMC scheme |
| title_full_unstemmed |
Implementation of recurrent neural network to control rotational inverted pendulum using IMC scheme |
| title_sort |
implementation of recurrent neural network to control rotational inverted pendulum using imc scheme |
| publisher |
Elsevier |
| publishDate |
2012 |
| url |
http://eprints.utm.my/id/eprint/33922/ http://www.ajbasweb.com/old/ajbas/2012/July/299-306.pdf |
| _version_ |
1643649470594809856 |
| score |
13.250958 |