Finite-time adaptive super-twisting sliding mode control for autonomous robotic manipulators with actuator faults

被引:12
作者
Hu, Jiabin [1 ]
Zhang, Xue [2 ]
Zhang, Dan [1 ]
Chen, Yun [3 ]
Ni, Hongjie [1 ]
Liang, Huageng [4 ]
机构
[1] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Aeronaut & Astronaut, Shanghai 200240, Peoples R China
[3] Hangzhou Dianzi Univ, Sch Automat, Hangzhou 310018, Peoples R China
[4] Huazhong Univ Sci & Technol, Dept Union Hosp, Tongji Med Coll, Wuhan 430022, Peoples R China
基金
中国国家自然科学基金;
关键词
Adaptive control; Global integral terminal sliding mode control; Autonomous robotic manipulator; Trajectory tracking; Finite time; Actuator fault; NEURAL-NETWORK; TRACKING CONTROL; SCHEME;
D O I
10.1016/j.isatra.2023.10.028
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 new adaptive super -twisting global integral terminal sliding mode control algorithm for the trajectory tracking of autonomous robotic manipulators with uncertain parameters, unknown disturbances, and actuator faults. Firstly, a novel global integral terminal sliding mode surface is designed to ensure that the tracking errors of autonomous robotic manipulators converge to zero in finite time and the global robustness of the system is also enhanced. Then a new adaptive method is devised to deal with the adverse effect of nonlinear uncertainty. To suppress the chattering phenomenon, the adaptive super -twisting algorithm is used in this paper, which can ensure that the control torque is a continuous input signal. Based on the adaptive mechanism, the adaptive super -twisting global integral terminal sliding mode controller is developed to provide superior control performance. The stability analysis of the system is demonstrated by using the Lyapunov method. Ultimately, the effectiveness of the control scheme is confirmed by a simulation study.
引用
收藏
页码:342 / 351
页数:10
相关论文
共 50 条
[41]   Output feedback adaptive super-twisting sliding mode control of hydraulic systems with disturbance compensation [J].
Yang, Xiaowei ;
Yao, Jianyong ;
Deng, Wenxiang .
ISA TRANSACTIONS, 2021, 109 :175-185
[42]   Adaptive Neural Network Finite-Time Control for Uncertain Robotic Manipulators [J].
Liu, Haitao ;
Zhang, Tie .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2014, 75 (3-4) :363-377
[43]   Adaptive Neural Network Finite-Time Control for Uncertain Robotic Manipulators [J].
Haitao Liu ;
Tie Zhang .
Journal of Intelligent & Robotic Systems, 2014, 75 :363-377
[44]   Adaptive Terminal Sliding Mode Finite-time Attitude Control of Spacecraft [J].
Hu Qing-lei ;
Jiang Cheng-ping ;
Zhang Zhen-xia ;
Zhang Ai-hua .
2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013, :1913-1917
[45]   Fractional-order deployment control of space tethered satellite via adaptive super-twisting sliding mode [J].
Li, Xiaolei ;
Sun, Guanghui ;
Xue, Cong .
AEROSPACE SCIENCE AND TECHNOLOGY, 2022, 121
[46]   Adaptive Finite-Time Fault-Tolerant Formation Control for Quadrotors with Actuator Faults [J].
Liu, Wanzhang ;
Zhang, Ke ;
Jiang, Bin .
PROCEEDINGS 2018 33RD YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), 2018, :387-392
[47]   Adaptive Fast Fixed-time Sliding Mode Control For Uncertain Robotic Manipulators [J].
Zhang, Xin ;
Qing, Shaojun .
JOURNAL OF APPLIED SCIENCE AND ENGINEERING, 2024, 27 (11) :3407-3417
[48]   Adaptive gains of dual level to super-twisting algorithm for sliding mode design [J].
Luo, Dong ;
Xiong, Xiaogang ;
Jin, Shanghai ;
Kamal, Shyam .
IET CONTROL THEORY AND APPLICATIONS, 2018, 12 (17) :2347-2356
[49]   Adaptive nonsingular fixed-time sliding mode control for uncertain robotic manipulators under actuator saturation [J].
Sai, Huayang ;
Xu, Zhenbang ;
He, Shuai ;
Zhang, Enyang ;
Zhu, Lin .
ISA TRANSACTIONS, 2022, 123 :46-60
[50]   An intelligent fixed-time super-twisting sliding mode control of the uncertain hybrid mechanism [J].
Li, Xue ;
Gao, Guoqin .
ROBOTICA, 2024, 42 (10) :3532-3551