Adaptive Sliding Mode Control for a Robotic Manipulator with Unknown Friction and Unknown Control Direction

被引:17
作者
Han, Seung-Hun [1 ]
Tran, Manh Son [2 ]
Tran, Duc-Thien [2 ]
机构
[1] Gyeongsang Natl Univ, Mech Syst Engn Dept, Tongyeong Campus, Tongyeong 53064, South Korea
[2] Ho Chi Minh City Univ Technol & Educ, Dept Automat Control, Ho Chi Minh City 700000, Vietnam
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 09期
关键词
sliding mode control; manipulator; unknown control direction; Nussbaum function; Lyapunov approach; EXTENDED STATE OBSERVER; TRACKING CONTROL; SYSTEMS; INPUT;
D O I
10.3390/app11093919
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
This paper is aimed at addressing the tracking control issue for an n-DOF manipulator regardless of unknown friction and unknown control direction. In order to handle the above issues, an adaptive sliding mode control (ASMC) is developed with a Nussbaum function. The sliding mode control (SMC) in the proposed control guarantees the tracking problem and fast responses for the manipulator. Additionally, there are adaptive laws for the robust gain in the SMC to deal with the unknown external disturbance and reduce the chattering effect in the system. In practice, the mistakes in the connection between actuators and drivers, named unknown control direction, cause serious damage to the manipulator. To overcome this issue, the Nussbaum function is multiplied by the ASMC law. A Lyapunov approach is investigated to analyze the stability and robustness of the whole system. Finally, several simulations are implemented on a 3-DOF manipulator and their results are compared with those of the existing controllers to validate the advantages of the proposed method.
引用
收藏
页数:14
相关论文
共 30 条
[1]   Adaptive fuzzy sliding mode control using supervisory fuzzy control for 3 DOF planar robot manipulators [J].
Amer, Ahmed F. ;
Sallam, Elsayed A. ;
Elawady, Wael M. .
APPLIED SOFT COMPUTING, 2011, 11 (08) :4943-4953
[2]   Fuzzy adaptive controller for MIMO nonlinear systems with known and unknown control direction [J].
Boulkroune, A. ;
Tadjine, M. ;
M'Saad, M. ;
Farza, M. .
FUZZY SETS AND SYSTEMS, 2010, 161 (06) :797-820
[3]   Output Feedback Control via Linear Extended State Observer for an Uncertain Manipulator with Output Constraints and Input Dead-Zone [J].
Duc Thien Tran ;
Hoang Vu Dao ;
Truong Quang Dinh ;
Kyoung Kwan Ahn .
ELECTRONICS, 2020, 9 (09) :1-22
[4]   Adaptive Backstepping Sliding Mode Control Based RBFNN for a Hydraulic Manipulator Including Actuator Dynamics [J].
Duc-Thien Tran ;
Hoai-Vu-Anh Truong ;
Ahn, Kyoung Kwan .
APPLIED SCIENCES-BASEL, 2019, 9 (06)
[5]   Robust adaptive neural control for a class of perturbed strict feedback nonlinear systems [J].
Ge, SS ;
Wang, J .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2002, 13 (06) :1409-1419
[6]   Adaptive PID Control of Wind Turbines for Power Regulation With Unknown Control Direction and Actuator Faults [J].
Habibi, Hamed ;
Nohooji, Hamed Rahimi ;
Howard, Ian .
IEEE ACCESS, 2018, 6 :37464-37479
[8]   AN APPROACH TO AUTOMATED DEBURRING BY ROBOT MANIPULATORS [J].
KAZEROONI, H ;
BAUSCH, JJ ;
KRAMER, BM .
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 1986, 108 (04) :354-359
[9]   Finite-Time Fault-Tolerant Control for a Robot Manipulator Based on Synchronous Terminal Sliding Mode Control [J].
Le, Quang Dan ;
Kang, Hee-Jun .
APPLIED SCIENCES-BASEL, 2020, 10 (09)
[10]   Adaptive Integral Sliding Mode Control With Time-Delay Estimation for Robot Manipulators [J].
Lee, Junyoung ;
Chang, Pyung Hun ;
Jin, Maolin .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 64 (08) :6796-6804