Control Strategy of 6-DOF Manipulator based on Improved Active Disturbance Rejection Control

被引:0
作者
Zhang, Dongxu [1 ]
Ma, Lixiang [2 ]
Liu, Bingyou [1 ]
Yang, Pan [3 ]
机构
[1] Anhui Polytech Univ, Coll Elect Engn, Key Lab Adv Percept & Intelligent Control, Wuhu, Peoples R China
[2] Anhui Inst Informat Technol, Wuhu, Peoples R China
[3] Anhui Dar Intelligent Control Syst Stock Co Ltd, Wuhu, Peoples R China
来源
2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2023年
关键词
six degrees of freedom manipulator; Sliding mode control; Improved fractional ESO;
D O I
10.1109/CCDC58219.2023.10326471
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Aiming at the problems of high coupling, parameter uncertainty and external environment interference in practical applications of six degrees of freedom manipulator, a control strategy based on improved active disturbance rejection control was proposed. Firstly, in order to improve the response speed of the system, the sliding mode control tracking differentiator (SMC-TD) is designed based on the synovial theory.In order to reduce the system jitter, the new sliding mode function is used to improve the sliding mode control law, which reduces the system jitter and improves the system response speed. Secondly, the han function is constructed to realize the design of continuous smooth extended state observer, and the improved fractional extended state observer (FO-ESO) is designed in combination with fractional calculus, which enhances the anti-interference ability of the system. Finally, combined with the traditional nonlinear error feedback control law (NLSEF), an improved active disturbance rejection controller was built, and different control strategies were used to compare the six degrees of freedom manipulator in the same environment. The experimental results show that the controller has good control effect and anti-disturbance robustness, which proves the effectiveness of the proposed method.
引用
收藏
页码:3303 / 3308
页数:6
相关论文
共 50 条
[41]   Fuzzy Sliding Mode Control for 6-DOF Parallel Robot Based on Support Vector Machines [J].
Zhu, Dequan ;
Mei, Tao ;
Luo, Minzhou .
MATERIALS, MECHATRONICS AND AUTOMATION, PTS 1-3, 2011, 467-469 :645-651
[42]   An Adaptive Active Disturbance Rejection Control Strategy for Speed-Sensorless Induction Motor Drives [J].
Zuo, Yun ;
Ge, Xinglai ;
Zheng, Yuelei ;
Chen, Yuexuan ;
Wang, Huimin ;
Woldegiorgis, Abebe Teklu .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2022, 8 (03) :3336-3348
[43]   Sliding Mode Control Based Design for a 6-DOF Miniature Helicopter In Hovering Flight Mode [J].
Ashitha, Varghese T. ;
Mija, S. J. .
2019 IEEE 5TH INTERNATIONAL CONFERENCE ON MECHATRONICS SYSTEM AND ROBOTS (ICMSR 2019), 2019, :59-63
[44]   Tension control of a yarn winding system based on the nonlinear active disturbance-rejection control algorithm [J].
Zhang, Hua ;
Xia, Huidi ;
Lu, Yongfa ;
Wu, Jie ;
Zhang, Xianghao ;
Wei, Yikun .
TEXTILE RESEARCH JOURNAL, 2022, :5049-5065
[45]   Tracking Control of Chaotic Systems via Optimized Active Disturbance Rejection Control [J].
Abu Khadra, Fayiz .
MATHEMATICAL PROBLEMS IN ENGINEERING, 2018, 2018
[46]   Conversion Flight Control for Tiltrotor Aircraft via Active Disturbance Rejection Control [J].
Lu, Ke ;
Tian, Hongyuan ;
Zhen, Pan ;
Lu, Senkui ;
Chen, Renliang .
AEROSPACE, 2022, 9 (03)
[47]   Improved Sliding Mode Active Disturbance Rejection Control of an Auxiliary Robotic Arm for Puncture Robots [J].
Wang, Jie ;
Jiang, Qi ;
Ibrahim, Rammah .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2025, 35 (11) :4826-4840
[48]   U-control-based active disturbance-rejection control revealed by the sliding mode for USV heading control [J].
Yu, Jiabin ;
Wei, Yuxiang ;
Chen, Yang ;
Zhang, Huiyan ;
Xu, Jiping ;
Zhao, Zhiyao .
CONTROL ENGINEERING PRACTICE, 2025, 159
[49]   Finite-time convergence disturbance rejection control for a flexible Timoshenko manipulator [J].
Zhao, Zhijia ;
Liu, Zhijie .
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 8 (01) :157-168
[50]   The Research of Improved Active Disturbance Rejection Control Algorithm for Particleboard Glue System Based on Neural Network State Observer [J].
Wang, Peiyu ;
Zhang, Chunrui ;
Zhu, Liangkuan ;
Wang, Chengcheng .
ALGORITHMS, 2019, 12 (12)