Designing Intelligent Adaptive Controller for Nonlinear Pendulum Dynamical System

This paper proposes the designing direct adaptive
neural controller to apply for a class of a nonlinear pendulum
dynamic system. The radial basis function (RBF) neural adaptive
controller is robust in presence of external and internal uncertainties.
Both the effectiveness of the controller and robustness against
disturbances are importance of this paper. The simulation results
show the promising performance of the proposed controller.

• R. Ghasemi
• M. R. Rahimi Khoygani

• Adaptive Neural Controller
• Nonlinear Dynamical
• Neural Network
• RBF
• Driven Pendulum
• Position Control.

[1] M.R.Rahimi, R. Ghasemi, D.Sanaei, “Designing Discrete Time Optimal
Controller for Double inverted pendulum system ,” International
Journal on Numerical and Analytical Methods in Engineering, Vol.1,N.
1 , pp. 3–7, 2013.
[2] Y. Becerikli, A.F. Konar, and T. Samad, “Intelligent optimal control
with dynamic neural networks”, Elsevier Journal of Neural Networks,
Vol.16, 2003, pp 251–259.
[3] M. A. Abido, “Optimal Design of Power–System Stabilizers using
Particle Swarm Optimization”, IEEE Transactions on Energy
Conversion, Vol. 17, No. 3, Sep 2002, pp. 406-413.
[4] K.M. Passino, and S. Yurkovich, Fuzzy Control, Addison Wesley
Longman, Inc., California, 1998.
[5] T. I. Liu, E. J. Ko, and J. Lee, “Intelligent Control of Dynamic
Systems”, Journal of the Franklin Institute, Vol. 330, No. 3, pp. 491-503,
1993.
[6] Astrom K. J., and McAvoy Thomas J., “Intelligent control”, J. Proc.
Cont. 1992, Vol. 2, No 3, pp 115-127.
[7] F.L. Lewis, S. Jagannathan, A. Yesildirek, Neural Network Control of
Robot Manipulators and Nonlinear Systems, Taylor & Francis, 1999.
[8] S. Srinivasulu Raju, T.S. Darshan and B. Nagendra, “Design of
Quadratic Dynamic Matrix Control for Driven Pendulum System”,
International Journal of Electronics and Communication Engineering,
pp. 363-370,Vol. 5, 2012.
[9] Farmanbordar. A,” Stabilizing a Driven Pendulum Using DLQR
Control”, IEEE International Conference on Modelling Symposium
(AMS), pp. 123 - 126, May 2011.
[10] Mohammad bagheri, A.’’ A New Approach to Control a Driven
Pendulum with PID Method ‘’, IEEE International Conference on
Computer Modelling and Simulation, pp. 207 – 211, 2011.
[11] Kizmaz.H, Aksoy. S, Muhurcu.A ,’’ Sliding mode control of suspended
pendulum’’, IEEE International Conference on Modern Electric Power
Systems (MEPS),pp.1-7 , 2010.
[12] MRRahimi Khoygani, RGhasemi, DSanaei, “Design Controller for a
Class of Nonlinear Pendulum Dynamical System”, IAES International
Journal of Artificial Intelligence (IJ-AI), Vol. 2, No. 4, December 2013,
pp. 159~168.