Robust adaptive control for unmanned aerial manipulator in dynamic gliding grasping

被引:0
|
作者
Zhang Z.-G. [1 ]
Chen Y.-J. [1 ,3 ]
Zhan W.-W. [1 ]
He B.-W. [1 ]
Lin L.-X. [1 ]
Wang Y.-N. [2 ,3 ]
机构
[1] School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou
[2] College of Electrical and Information Engineering, Hunan University, Changsha
[3] National Engineering Laboratory for Robot Visual Perception and Control Technology, Changsha
基金
中国国家自然科学基金;
关键词
Interval matrix; Robust adaptive control; Uncertainties; Unmanned aerial manipulator;
D O I
10.7641/CTA.2020.00326
中图分类号
学科分类号
摘要
Unmanned aerial manipulator is a new kind of robot systems that consists of a multi-joint manipulator and flying robot. It can exert a positive influence on the environments, as well as with a complex dynamics properties. Aiming at the system control problems of friction, contact force in dynamic gliding grasping and inertia tensor changing in flying, this paper proposed an integral robust adaptive control strategy for the unmanned aerial manipulator. At first, friction and contact force are introduced in the dynamic modeling, and the inertia tensor is considered as bounded variables to improve accuracy of modeling and grasping. Then, in order to reduce impact of disturbances caused by dynamic gliding grasping on flight control performance, an anti-disturbances robust controller is designed based on interval matrix method to compensate the changes of the inertia tensor. Subsequently, the stability analysis is provided through the Lyapunov stability theory. Finally, the effectiveness and superiority of the proposed method are verified in simulation comparisons. © 2021, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.
引用
收藏
页码:775 / 783
页数:8
相关论文
共 24 条
  • [1] SONG Dalei, MENG Xiangdong, QI Juntong, Strategy of dynamic modeling and predictive control on 3-DoF rotorcraft aerial manipulator system, Robot, 37, 2, pp. 152-160, (2015)
  • [2] YANG Bin, HE Yuqing, HAN Jianda, Et al., Survey on aerial manipulator systems, Robot, 37, 5, pp. 628-640, (2015)
  • [3] LAIACKRE M, HUBER F, KONDAK K., High accuracy visual servoing for aerial manipulation using a 7 degrees of freedom industrial manipulator, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1631-1636, (2016)
  • [4] FANG L X, CHEN H Y, LOU Y J, Et al., Visual grasping for a lightweight aerial manipulator based on NSGA-II and kinematic compensation, IEEE International Conference on Robotics and Automation (ICRA), pp. 3488-3493, (2018)
  • [5] SEO H, KIM S, KIM H., Aerial grasping of cylindrical object using visual servoing based on stochastic model predictive control, IEEE International Conference on Robotics and Automation (ICRA), pp. 6362-6368, (2017)
  • [6] ZHANG Y B, JING X L., Kinematics analysis and simulation of a novel spatial translational parallel manipulator, IEEE International Conference on Robotics and Automation Engineering (ICRAE), pp. 131-135, (2017)
  • [7] MENG Xiangdong, HE Yuqing, ZHANG Hongda, Et al., Contact force control of aerial manipulator systems, Control Theory & Applications, 37, 1, pp. 59-68, (2020)
  • [8] GUAYASAMIN A, LEICA P, HERRERA M, Et al., Trajectory tracking control for aerial manipulator based on Lyapunov and sliding mode control, IEEE International Conference on Information Systems and Computer Science (INCISCOS), pp. 36-41, (2018)
  • [9] WANG Yinghua, SONG Guangming, LIU Shengsong, Et al., Design of a vision-guided aerial manipulator, Robot, 41, 3, pp. 353-361, (2019)
  • [10] LIAN Jie, SONG Guangming, WANG Yinghua, Et al., Modeling and control of an aerial manipulator with a gravity center adjusting mechanism, Robot, 41, 1, pp. 1-8, (2019)