Adaptive finite-time command-filtered backstepping sliding mode control for stabilization of a disturbed rotary-inverted-pendulum with experimental validation

被引:9
作者
Mofid, Omid [1 ]
Alattas, Khalid A. [2 ]
Mobayen, Saleh [1 ]
Vu, Mai The [3 ]
Bouteraa, Yassine [4 ,5 ]
机构
[1] Natl Yunlin Univ Sci & Technol, Future Technol Res Ctr, 123 Univ Rd,Sect 3, Touliu 64002, Yunlin, Taiwan
[2] Univ Jeddah, Coll Comp Sci & Engn, Dept Comp Sci & Artificial Intelligence, Jeddah, Saudi Arabia
[3] Sejong Univ, Sch Intelligent Mechatron Engn, Seoul 05006, South Korea
[4] Prince Sattam Bin Abdulaziz Univ, Coll Comp Engn & Sci, Dept Comp Engn, Al Kharj, Saudi Arabia
[5] Univ Sfax, Inst Super Biotechnol Sfax ISBS, Control & Energy Management Lab CEM Lab, Ecole Natl Ingenieurs Sfax ENIS, Sfax 3038, Tunisia
关键词
Backstepping control; sliding mode control; finite-time convergence; robust stability; inverted-pendulum; SYSTEMS;
D O I
10.1177/10775463211064022
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
In this paper, the finite-time stabilization of the disturbed and uncertain rotary-inverted-pendulum system is studied based on the adaptive backstepping sliding mode control procedure. For this purpose, first of all, the dynamical equation of the rotary-inverted-pendulum system is obtained in the state-space form in the existence of external disturbances and model uncertainties with unknown bound. Afterward, a novel command filter is defined to enhance the control strategy by consideration of a virtual control input. Therefore, the differential signal is replaced by the output of the command filter to reduce the complicated computing in the control process. Hence, the finite-time convergence of the sliding surface to the origin is attested by using the backstepping sliding mode control scheme according to the Lyapunov theory. Besides, the unknown upper bound of the exterior perturbation and uncertainty is approximated providing the adaptive control technique. Finally, simulations and experimental results are done to demonstrate the impression and proficiency of the suggested method.
引用
收藏
页码:1431 / 1446
页数:16
相关论文
共 42 条
[1]   An adaptive swing-up sliding mode controller design for a real inverted pendulum system based on Culture-Bees algorithm [J].
Al-Araji, Ahmed S. .
EUROPEAN JOURNAL OF CONTROL, 2019, 45 :45-56
[2]   A Comparative Study of the Joint Neuro-Fuzzy Friction Models for a Triple Link Rotary Inverted Pendulum [J].
Ben Hazem, Zied ;
Fotuhi, Mohammad Javad ;
Bingul, Zafer .
IEEE ACCESS, 2020, 8 :49066-49078
[3]  
Dhouibi H., 2019, EUROPEAN J ENG RES S, V4, P20
[4]   Command Filtered Adaptive Backstepping [J].
Dong, Wenjie ;
Farrell, Jay A. ;
Polycarpou, Marios M. ;
Djapic, Vladimir ;
Sharma, Manu .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2012, 20 (03) :566-580
[5]   Real-Time H∞ Control of Networked Inverted Pendulum Visual Servo Systems [J].
Du, Dajun ;
Zhang, Changda ;
Song, Yuehua ;
Zhou, Huiyu ;
Li, Xue ;
Fei, Minrui ;
Li, Wangpei .
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (12) :5113-5126
[6]   Stabilization of unstable equilibrium point of rotary inverted pendulum using fractional controller [J].
Dwivedi, Prakash ;
Pandey, Sandeep ;
Junghare, Anjali S. .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2017, 354 (17) :7732-7766
[7]   Sliding-Mode Control for Transformation to an Inverted Pendulum Mode of a Mobile Robot With Wheel-Arms [J].
Fukushima, Hiroaki ;
Muro, Keiji ;
Matsuno, Fumitoshi .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 62 (07) :4257-4266
[8]  
Goswami S, 2017, 2017 IEEE CALCUTTA CONFERENCE (CALCON), P215, DOI 10.1109/CALCON.2017.8280727
[9]  
Govind Anjana, 2020, Advances in Electrical and Computer Technologies. Select Proceedings of ICAECT 2019. Lecture Notes in Electrical Engineering (LNEE 672), P1401, DOI 10.1007/978-981-15-5558-9_117
[10]   Parametric adaptive control of single-rod electrohydraulic system with block-strict-feedback model [J].
Guo, Qing ;
Zuo, Zongyu ;
Ding, Zhengtao .
AUTOMATICA, 2020, 113