A Non-Singular Fast Terminal Sliding Mode Control Based on Third-Order Sliding Mode Observer for a Class of Second-Order Uncertain Nonlinear Systems and its Application to Robot Manipulators

被引:47
作者
Van-Cuong Nguyen [1 ]
Anh-Tuan Vo [1 ]
Kang, Hee-Jun [2 ]
机构
[1] Univ Ulsan, Grad Sch Elect Engn, Ulsan 44610, South Korea
[2] Univ Ulsan, Sch Elect Engn, Ulsan 44610, South Korea
基金
新加坡国家研究基金会;
关键词
Uncertain nonlinear systems; non-singular fast terminal sliding mode control; third-order sliding mode observer; controller-observer strategy; uncertainty compensation; robot manipulators; TRACKING CONTROL; MOTION CONTROL; DESIGN;
D O I
10.1109/ACCESS.2020.2989613
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a controller-observer strategy for a class of second-order uncertain nonlinear systems with only available position measurement. The third-order sliding mode observer is first introduced to estimate both velocities and the lumped uncertain terms of system with high accuracy, less chattering, and finite time convergency of estimation errors. Then, the proposed controller-observer strategy is designed based on non-singular fast terminal sliding mode sliding control and proposed observer. Thanks to this combination, the proposed strategy has some superior properties such as high tracking accuracy, chattering phenomenon reduction, robustness against the effects of the lumped uncertain terms, velocity measurement elimination, finite time convergence, and faster reaching sliding motion. Especially, two period times, before and after the convergence of the velocity estimation takes place, are considered. The finite time stability of proposed controller-observer method is proved by using the Lyapunov stability theory. Final, the proposed strategy is applied to robot manipulator system and its effectiveness is verified by simulation results, in which a PUMA560 robot manipulator is employed.
引用
收藏
页码:78109 / 78120
页数:12
相关论文
共 46 条
[1]   A stable neural network-based observer with application to flexible-joint manipulators [J].
Abdollahi, F ;
Talebi, HA ;
Patel, RV .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2006, 17 (01) :118-129
[2]   An Adaptive Terminal Sliding Mode Control for Robot Manipulators With Non-Singular Terminal Sliding Surface Variables [J].
Anh Tuan Vo ;
Kang, Hee-Jun .
IEEE ACCESS, 2019, 7 :6701-6712
[3]  
Armstrong B., 1986, Proceedings 1986 IEEE International Conference on Robotics and Automation (Cat. No.86CH2282-2), P510
[4]   Finite-time stability of continuous autonomous systems [J].
Bhat, SP ;
Bernstein, DS .
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2000, 38 (03) :751-766
[5]   Implementation of Super-Twisting Control: Super-Twisting and Higher Order Sliding-Mode Observer-Based Approaches [J].
Chalanga, Asif ;
Kamal, Shyam ;
Fridman, Leonid M. ;
Bandyopadhyay, Bijnan ;
Moreno, Jaime A. .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (06) :3677-3685
[6]   Sliding mode control for a class of uncertain nonlinear system based on disturbance observer [J].
Chen, Mou ;
Chen, Wen-Hua .
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2010, 24 (01) :51-64
[7]   Second-order sliding-mode observer for mechanical systems [J].
Davila, J ;
Fridman, L ;
Levant, A .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2005, 50 (11) :1785-1789
[8]   Adaptive Control of Input Delayed Uncertain Nonlinear Systems With Time-Varying Output Constraints [J].
Deng, Wenxiang ;
Yao, Jianyong ;
Ma, Dawei .
IEEE ACCESS, 2017, 5 :15271-15282
[9]   Nonsingular terminal sliding mode control technique for attitude tracking problem of a small satellite with combined energy and attitude control system (CEACS) [J].
Eshghi, Samira ;
Varatharajoo, Renuganth .
AEROSPACE SCIENCE AND TECHNOLOGY, 2018, 76 :14-26
[10]   Rollover Risk Prediction of Heavy Vehicle Using High-Order Sliding-Mode Observer: Experimental Results [J].
Imine, Hocine ;
Benallegue, Abdelaziz ;
Madani, Tarek ;
Srairi, Salim .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2014, 63 (06) :2533-2543