%0 Journal Article
%T OPTIMAL CONTROL OF INVERTED PENDULUM BASED ON TWO PID AND LQR ARRANGEMENT AND IMPROVED BP NEURAL NETWORK
%A RASHMITA KHARE
%A M. J. NIGAM
%J International Journal of Electrical, Electronics and Data Communication
%D 2013
%I Institute Of Research And Journals
%R irajijeedc150609
%X 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 prove that the modified BP algorithm for inverted pendulum control gives better efficiency, lesser training time and faster convergence.
%K Artificial Neural networks
%K Inverted Pendulum
%K Modified Back Propagation Algorithm
%K PID
%K LQR
%U http://iraj.in/journal/IJEEDC/volume1_issue5/06-09.pdf