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...
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| Main Authors: | , , , |
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| Format: | Article |
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Elsevier
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/33922/ http://www.ajbasweb.com/old/ajbas/2012/July/299-306.pdf |
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| Summary: | 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. |
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