FO based-LQR stabilization of the rotary inverted pendulum

This work implements a feedback control system for stabilizing the RIP (Rotary Inverted Pendulum) using a FO (Fractional Order) based-LQR (Linear Quadratic Regulator) controller. That is, every derivative term of a classical LQR control law containing the Laplace variable s will be transformed into its FO derivative form sm, where m isa fractional number between 0 and 1. Experimental results obtained with LQR and FO LQR-based controllers demonstrated that all designed control systems were able to stabilize the pendulum with and without the action of disturbances and in the presence of a larger pendulum Link mass. However, the application of a FO LQR-based controller improves the robustness of the control system. Such control systems use direct measurement of pendulum and motor shaft positions. For LQR controllers, speeds were obtained by differentiation of the corresponding positions and passed through first order filters to reject high frequency noise. It was not required to use any additional filter for the FO LQR-based controller.

[1]  Michal Salaj,et al.  Swinging up the Furuta Pendulum and its Stabilization Via Model Predictive Control , 2013 .

[2]  YangQuan Chen,et al.  Fractional order control - A tutorial , 2009, 2009 American Control Conference.

[3]  Shuhui Bi,et al.  Fractional PID based stability control for a single link rotary inverted pendulum , 2015, 2015 International Conference on Advanced Mechatronic Systems (ICAMechS).

[4]  R. Mitra,et al.  Swing-up and control of Rotary Inverted Pendulum using pole placement with integrator , 2014, 2014 Recent Advances in Engineering and Computational Sciences (RAECS).

[5]  A. A. Shafie,et al.  Modeling and control of a rotary inverted pendulum using various methods, comparative assessment and result analysis , 2010, 2010 IEEE International Conference on Mechatronics and Automation.

[6]  YangQuan Chen,et al.  Fractional-order Systems and Controls , 2010 .

[7]  M. Teshnehlab,et al.  Sliding mode control of Rotary Inverted Pendulm , 2007, 2007 Mediterranean Conference on Control & Automation.

[8]  Jung-Shan Lin,et al.  Backstepping Control Design of 360-Degree Inverted Pendulum Systems , 2003 .

[9]  S. Chatterji,et al.  Performance Analysis of Fractional Order PID Controller with the Conventional PID Controller for Bioreactor Control , 2012 .

[10]  M. Teshnehlab,et al.  Fuzzy Sliding Mode Control of Rotary Inverted Pendulum , 2007, 2007 IEEE International Conference on Computational Cybernetics.

[11]  Dinesh Chandra,et al.  Stabilization of Inverted Cart-Pendulum System Using Controller: A Frequency-Domain Approach , 2013 .