International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Aug. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 114
Paper Published : 1562
No. of Authors : 4260
  Journal Paper


Paper Title :
Optimal Control Of Inverted Pendulum Based On Two PID And LQR Arrangement And Improved Bp Neural Network

Author :Rashmita Khare, M. J. Nigam

Article Citation :Rashmita Khare ,M. J. Nigam , (2013 ) " Optimal Control Of Inverted Pendulum Based On Two PID And LQR Arrangement And Improved Bp Neural Network " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 06-09, Volume-1,Issue-5

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

Type : Research paper

Published : Volume-1,Issue-5


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