DOIONLINE 
DOIONLINE Publish In |
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC |
 Journal Home Volume Issue |
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Issue |
Volume-1,Issue-5 ( Jul, 2013 ) | |||||||||
Paper Title |
Optimal Control Of Inverted Pendulum Based On Two PID And LQR Arrangement And Improved Bp Neural Network | |||||||||
Author Name |
Rashmita Khare, M. J. Nigam | |||||||||
Affilition |
Department of Electronics and Communication Engineering, Indian Institute of Technology, Roorkee (Uttarakhand), India | |||||||||
Pages |
06-09 | |||||||||
Abstract |
BP Neural Network has a longer training time and a slow convergence. To deal with the defects of BP Neural Network a modified BP algorithm is proposed in the paper. The algorithm is applied for the control of Inverted Pendulum, a highly non linear system inherently being open loop unstable. Levenberg-Marquardt algorithm is used for the training purpose. The training samples are being collected by a two PID and one LQR arrangement. The simulation results provethat the modified BP algorithm for inverted pendulum control gives better efficiency, lesser training tim e and faster convergence | |||||||||
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