Adaptive control of parallel robots with uncertain kinematics and dynamics

被引:33
作者
Harandi, M. Reza J. [1 ]
Khalilpour, S. A. [1 ]
Taghirad, Hamid D. [1 ]
Romero, Jose Guadalupe [2 ]
机构
[1] KN Toosi Univ Technol, Fac Elect Engn, Adv Robot & Automated Syst ARAS, Tehran, Iran
[2] ITAM, Dept Acad Sistemas Digit, Rio Hondo 1, Mexico City 01080, DF, Mexico
基金
美国国家科学基金会;
关键词
Parallel robot; Kinematic and dynamic uncertainty; Trajectory tracking; Adaptive control; Jacobian matrix; Regressor form; MOTION CONTROL; MANIPULATORS; CALIBRATION;
D O I
10.1016/j.ymssp.2021.107693
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
One of the most challenging issues in adaptive control of robot manipulators with kinematic uncertainties is the requirement of inverse Jacobian matrix in regressor form. This requirement is inevitable in the case of the control of parallel robots, whose dynamics formulation are derived in the task space. In this paper, an adaptive controller is proposed for parallel robots based on representation of Jacobian matrix in regressor form with asymptotic trajectory tracking. The main idea of this paper is separation of determinant and adjugate of Jacobian matrix in order to represent them into a new regressor forms. Simulation and experimental results on a 2-DOF RPR and a 3-DOF redundant cable driven robot, respectively, verify promising performance of the proposed method in practice. (c) 2021 Elsevier Ltd. All rights reserved. One of the most challenging issues in adaptive control of robot manipulators with kinematic uncertainties is the requirement of inverse Jacobian matrix in regressor form. This requirement is inevitable in the case of the control of parallel robots, whose dynamics formulation are derived in the task space. In this paper, an adaptive controller is proposed for parallel robots based on representation of Jacobian matrix in regressor form with asymptotic trajectory tracking. The main idea of this paper is separation of determinant and adjugate of Jacobian matrix in order to represent them into a new regressor forms. Simulation and experimental results on a 2-DOF RPR and a 3-DOF redundant cable driven robot, respectively, verify promising performance of the proposed method in practice.
引用
收藏
页数:13
相关论文
共 29 条
[1]   Optimum kinematic design of a planar cable-driven parallel robot with wrench-closure gait trajectory [J].
Abbasnejad, Ghasem ;
Yoon, Jungwon ;
Lee, Hosu .
MECHANISM AND MACHINE THEORY, 2016, 99 :1-18
[2]  
[Anonymous], 2013, Parallel robots: mechanics and control, DOI DOI 10.1201/B16096
[3]   Adaptive robust control of fully-constrained cable driven parallel robots [J].
Babaghasabha, Reza ;
Khosravi, Mohammad A. ;
Taghirad, Hamid D. .
MECHATRONICS, 2015, 25 :27-36
[4]  
Campbell SL, 2009, CLASS APPL MATH, V56, P1, DOI 10.1137/1.9780898719048
[5]   Adaptive tracking control for robots with unknown kinematic and dynamic properties [J].
Cheah, CC ;
Liu, C ;
Slotine, JJE .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2006, 25 (03) :283-296
[6]   Approximate Jacobian adaptive control for robot manipulators [J].
Cheah, CC ;
Liu, C ;
Slotine, JJE .
2004 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1- 5, PROCEEDINGS, 2004, :3075-3080
[7]   Complete, minimal and continuous error models for the kinematic calibration of parallel manipulators based on POE formula [J].
Chen, Genliang ;
Kong, Lingyu ;
Li, Qinchuan ;
Wang, Hao ;
Lin, Zhongqin .
MECHANISM AND MACHINE THEORY, 2018, 121 :844-856
[8]   Adaptive Fuzzy Backstepping Control for Stable Nonlinear Bilateral Teleoperation Manipulators With Enhanced Transparency Performance [J].
Chen, Zheng ;
Huang, Fanghao ;
Yang, Chunning ;
Yao, Bin .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (01) :746-756
[9]   Adaptive regulation of amplitude limited robot manipulators with uncertain kinematics and dynamics [J].
Dixon, W. E. .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2007, 52 (03) :488-493
[10]   Kinematically Redundant Spatial Parallel Mechanisms for Singularity Avoidance and Large Orientational Workspace [J].
Gosselin, Clement ;
Schreiber, Louis-Thomas .
IEEE TRANSACTIONS ON ROBOTICS, 2016, 32 (02) :286-300