Robust Stabilization of Inverted Pendulum Using ALQR Augmented by Second-Order Sliding Mode Control

被引:3
作者
Guaracy F.H.D. [1 ]
Pereira R.L. [1 ]
de Paula C.F. [2 ]
机构
[1] UNIFEI, Federal University of Itajubá, Campus Itabira, Rua Irmã Ivone Drumond, 200, Distrito Industrial II, Itabira, 35903-087, MG
[2] UNIFEI, Federal University of Itajubá, Institute of Systems Engineering and Information Technology, Av. BPS, 1303, Pinheirinho, Itajubá, 37500-903, MG
关键词
Amplified linear quadratic regulator; Inverted pendulum; LMI; Sliding mode control; Super-twisting algorithm;
D O I
10.1007/s40313-017-0332-0
中图分类号
学科分类号
摘要
In this paper, a robust nonlinear control design strategy to solve the stabilization problem of an inverted pendulum system subject to parametric uncertainties and unmodeled dynamics is proposed. The control strategy is based on the combination of Amplified Linear Quadratic Regulator (ALQR) control with a high-order sliding mode algorithm. Differently from the standard ALQR controller, parametric uncertainties are considered in the design process. Linear matrix inequality conditions are provided to deal with the computational issues arising with the inclusion of this feature. A sliding mode term is added to the ALQR control law to mitigate the effect of unmodeled dynamics, such as dry friction, neglected in the system model. In order to prevent the occurrence of chattering, a high-order sliding mode approach was used, namely the second-order super-twisting algorithm. The effectiveness of the proposed strategy is evaluated through a real experiment performed using the Quanser inverted pendulum plant. © 2017, Brazilian Society for Automatics--SBA.
引用
收藏
页码:577 / 584
页数:7
相关论文
共 35 条
  • [1] Cavalca M., Kienitz K., Application of TFL/LTR robust control techniques to failure accommodation, ABCM Symposium Series in Mechatronics, 4, pp. 189-197, (2009)
  • [2] Chalanga A., Kamal S., Fridman L.M., Bandyopadhyay B., Moreno J.A., Implementation of super-twisting control: Super-twisting and higher order sliding-mode observer-based approaches, IEEE Transactions on Industrial Electronics, 63, 6, pp. 3677-3685, (2016)
  • [3] Chen B.-S., Tseng C.-S., Uang H.-J., Mixed H<sub>2</sub> / H<sub>∞</sub> fuzzy output feedback control design for nonlinear dynamic systems: An LMI approach, IEEE Transactions on Fuzzy Systems, 8, 3, pp. 249-265, (2000)
  • [4] Chen C.-S., Chen W.-L., Robust adaptive sliding-mode control using fuzzy modeling for an inverted-pendulum system, IEEE Transactions on Industrial Electronics, 45, 2, pp. 297-306, (1998)
  • [5] Das S.K., Paul K.K., Robust compensation of a cart-inverted pendulum system using a periodic controller: Experimental results, Automatica, 47, 11, pp. 2543-2547, (2011)
  • [6] Fallaha C., Saad M., Kanaan H., Al-Haddad K., Sliding-mode robot control with exponential reaching law, IEEE Transactions on Industrial Electronics, 58, 2, pp. 600-610, (2011)
  • [7] Geromel J., Korogui R., Bernussou J., H<sub>2</sub> and H<sub>∞</sub> robust output feedback control for continuous time polytopic systems, IEEE Transactions on Fuzzy Systems, 1, 5, pp. 1541-1549, (2007)
  • [8] Hadri-Hamida A., Higher-order sliding mode control scheme with an adaptation low for uncertain power dc–dc converters, Journal of Control, Automation and Electrical Systems, 26, 2, pp. 125-133, (2015)
  • [9] Kajiwara H., Apkarian P., Gahinet P., LPV techniques for control of an inverted pendulum, IEEE Control Systems, 19, 1, pp. 44-54, (1999)
  • [10] Khalil H.K., Nonlinear systems, (2002)