Swing-Up and Stabilization Control Design for an Underactuated Rotary Inverted Pendulum System: Theory and Experiments

被引:65
作者
Yang, Xuebo [1 ]
Zheng, Xiaolong [1 ]
机构
[1] Harbin Inst Technol, Sch Astronaut, Res Inst Intelligent Control & Syst, Harbin 150001, Heilongjiang, Peoples R China
基金
黑龙江省自然科学基金; 中国国家自然科学基金;
关键词
Adaptive neural network (NN) control; rotary inverted pendulum (RIP); trajectory planning; underactuated systems; BACKSTEPPING CONTROL; NETWORK; IMPLEMENTATION;
D O I
10.1109/TIE.2018.2793214
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the swing-up and stabilization control problems for a rotary inverted pendulum system are solved via new control schemes, in which the swing-up strategy is designed by using trajectory planning and inertia effect such that the pendulum can be swung to a desired position to trigger the stabilization controller, and the stabilization scheme is implemented by resorting to the nonlinear adaptive neural network control method and linear matrix inequation technique. By using Lyapunov stability theory, it can be proved that the target trajectory can be boundedly tracked by the arm section, and the pendulum section can be balanced in the upright position with a small error. Finally, two experimental results are given to show the effectiveness of the proposed swing-up and stabilization methods, respectively.
引用
收藏
页码:7229 / 7238
页数:10
相关论文
共 24 条
[1]   Trajectory Tracking Control of Planar Underactuated Vehicles [J].
Ashrafiuon, Hashem ;
Nersesov, Sergey ;
Clayton, Garrett .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (04) :1959-1965
[2]   Sliding mode control of underactuated multibody systems and its application to shape change control [J].
Ashrafiuon, Hashem ;
Erwin, R. Scott .
INTERNATIONAL JOURNAL OF CONTROL, 2008, 81 (12) :1849-1858
[3]   Swinging up a pendulum by energy control [J].
Åström, KJ ;
Furuta, K .
AUTOMATICA, 2000, 36 (02) :287-295
[4]  
Boyd S., LINEAR MATRIX INEQUA
[5]   Adaptive Neural Output Feedback Control of Uncertain Nonlinear Systems With Unknown Hysteresis Using Disturbance Observer [J].
Chen, Mou ;
Ge, Shuzhi Sam .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 62 (12) :7706-7716
[6]   Asymptotically Stable Walking of a Five-Link Underactuated 3-D Bipedal Robot [J].
Chevallereau, Christine ;
Grizzle, J. W. ;
Shih, Ching-Long .
IEEE TRANSACTIONS ON ROBOTICS, 2009, 25 (01) :37-50
[7]   Design and implementation of an adaptive neural-network compensator for control systems [J].
Choi, YK ;
Lee, MJ ;
Kim, S ;
Kay, YC .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2001, 48 (02) :416-423
[8]  
Chye T. K., ROTARY INVERTED PEND
[9]   Neural Learning Control of Marine Surface Vessels With Guaranteed Transient Tracking Performance [J].
Dai, Shi-Lu ;
Wang, Min ;
Wang, Cong .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (03) :1717-1727
[10]  
Furuta K., 1991, Proceedings IECON '91. 1991 International Conference on Industrial Electrlnics, Control and Instrumentation (Cat. No.91CH2976-9), P2193, DOI 10.1109/IECON.1991.239008