Model-free adaptive control of cable-driven continuum manipulator

被引：0

作者：

Zheng X. ^{[1
]}

Ding M. ^{[1
]}

Wu H. ^{[2
]}

Guo Y. ^{[1
]}

机构：

[1] School of Automation, Nanjing University of Science and Technology, Nanjing

[2] Shanghai Aerospace Control Technology Institute, Shanghai

来源：

Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2023年 / 51卷 / 02期

关键词：

cable-driven; compact form dynamic linearization; continuum manipulator; model-free adaptive control; three-dimensional space;

D O I：

10.13245/j.hust.230212

中图分类号：

学科分类号：

摘要：

To solve the problem of modeling and control of continuum manipulators，a three-dimensional position control scheme of cable driven continuum manipulator based on model-free adaptive control was proposed．According to the length configuration of the driven cable and the position of the manipulator，the complex nonlinear model was equivalent to an incremental dynamic linear time-varying model by using the compact form dynamic linearization method．On this basis，the pseudo-Jacobian matrix estimation and reset algorithm and model-free adaptive control algorithm were designed．Those algorithms do not depend on the mathematical model and have adaptive controller parameters．The ADAMS virtual prototype of the continuum manipulator was established and was simulated with Matlab，which verified the effectiveness of the proposed method. © 2023 Huazhong University of Science and Technology. All rights reserved.

引用

页码：116 / 121

页数：5

共 16 条

[1]

54, 15, pp. 1-14, (2018)

[2]

AUKES D M，, HEYNEMAN B, Design and testing of a selectively compliant underactuated hand[J], The International Journal of Robotics Research, 33, 5, pp. 721-735, (2014)

[3]

DELLA S C，, BICCHI A，, RUS D．, On an improved state parametrization for soft robots with piecewise constant curvature and its use in model based control[J], IEEE Robotics and Automation Letters, 5, 2, pp. 1001-1008, (2020)

[4]

RENDA F, BOYER F, Discrete cosser-at approach for multisection soft manipulator dynamics [J], IEEE Transactions on Robotics, 34, 6, pp. 1518-1533, (2018)

[5]

LEE K H，, LEONG M C W，, CHOW M C K, FEM-based soft robotic control framework for intracavi-tary navigation[C], Proc of 2017 IEEE International Conference on Real-time Computing and Robotics (RCAR), pp. 11-16, (2017)

[6]

GIORELLI M，, RENDA F, CALISTI M, Neural network and jacobian method for solving the inverse statics of a cable-driven soft arm with nonconstant curvature [J], IEEE Transactions on Robotics, 31, 4, pp. 823-834, (2015)

[7]

XU W，, CHEN J，, LAU H, Data-driven methods towards learning the highly nonlinear inverse kinematics of tendon-driven surgical manipulators[J], The International Journal of Medical Robotics and Computer Assisted Surgery, 13, 3, (2017)

[8]

GEORGE T, FALOTICO E, MANTI M, Learning closed loop kinematic controllers for continuum manipulators in unstructured environments[J], Soft Robotics, 4, 3, pp. 285-296, (2017)

[9]

46, 9, pp. 64-69, (2018)

[10]

ELGENEIDY K, LOHSE N, JACKSON M．, Bending angle prediction and control of soft pneumatic actuators with embedded flex sensors—a data-driven approach[J], Mechatronics, 50, pp. 234-247, (2018)

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