Artificial-Delay Adaptive Control for Underactuated Euler-Lagrange Robotics

被引：41

作者：

Roy, Spandan ^{[1
]}

Baldi, Simone ^{[2
,3
]}

Li, Peng ^{[2
]}

Sankaranarayanan, Viswa N. ^{[1
]}

机构：

[1] Int Inst Informat Technol Hyderabad, Robot Res Ctr, Hyderabad 500032, Telangana, India

[2] Southeast Univ, Sch Cyber Sci & Engn, Nanjing 211189, Peoples R China

[3] Delft Univ Technol, Delft Ctr Syst & Control, NL-2600 AA Delft, Netherlands

来源：

IEEE-ASME TRANSACTIONS ON MECHATRONICS | 2021年 / 26卷 / 06期

关键词：

Robots; Vehicle dynamics; Delays; Upper bound; Uncertainty; System dynamics; Standards; Artificial-delay control; Euler-Lagrange (EL) systems; time delay estimation (TDE); underactuated robotics; SLIDING-MODE CONTROL; MOTION CONTROL; TIME; SYSTEMS; SHIP; DESIGN; CRANES;

D O I：

10.1109/TMECH.2021.3052068

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Artificial-delay control is a method in which state and input measurements collected at an immediate past time instant (i.e., artificially delayed) are used to compensate the uncertain dynamics affecting the system at the current time. This article formulates an artificial-delay control method with adaptive gains in the presence of nonlinear (Euler-Lagrange) underactuation. The appeal of studying Euler-Lagrange dynamics is to capture many robotics applications of practical interest, as demonstrated via stability and robustness analysis and via robotic ship and robotic aerial vehicle test cases.

引用

页码：3064 / 3075

页数：12

共 54 条

[1] Trajectory-tracking and path-following of underactuated autonomous vehicles with parametric modeling uncertainty
Aguiar, A. Pedro
Hespanha, Joao P.
[J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2007, 52 (08) : 1362 - 1379
[2] Adaptive Tracking Control of an Exoskeleton Robot With Uncertain Dynamics Based on Estimated Time-Delay Control
Brahmi, Brahim
Saad, Maarouf
Ochoa-Luna, Cristobal
Rahman, Mohammad Habibur
Brahmi, Abdelkrim
[J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2018, 23 (02) : 575 - 585
[3] A reduced order time-delay control for highly simplified brushless DC motor
Chang, PH
Park, SH
Lee, JH
[J]. JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 1999, 121 (03): : 556 - 560
[4] Unified Motion-Based Calibration of Mobile Multi-Sensor Platforms With Time Delay Estimation
Della Corte, Bartolomeo
Andreasson, Henrik
Stoyanov, Todor
Grisetti, Giorgio
[J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2019, 4 (02) : 902 - 909
[5] Fan YS, 2017, 2017 4TH INTERNATIONAL CONFERENCE ON INFORMATION, CYBERNETICS AND COMPUTATIONAL SOCIAL SYSTEMS (ICCSS), P619, DOI 10.1109/ICCSS.2017.8091489
[6] A Motion Planning-Based Adaptive Control Method for an Underactuated Crane System
Fang, Yongchun
Ma, Bojun
Wang, Pengcheng
Zhang, Xuebo
[J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2012, 20 (01) : 241 - 248
[7] Stabilization by using artificial delays: An LMI approach
Fridman, Emilia
Shaikhet, Leonid
[J]. AUTOMATICA, 2017, 81 : 429 - 437
[8] Furrer F, 2016, STUD COMPUT INTELL, V625, P595, DOI 10.1007/978-3-319-26054-9_23
[9] ROBUST INDEPENDENT JOINT CONTROLLER-DESIGN FOR INDUSTRIAL ROBOT MANIPULATORS
HSIA, TCS
LASKY, TA
GUO, ZY
[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 1991, 38 (01) : 21 - 25
[10] A Disturbance Observer Based Sliding Mode Control for a Class of Underactuated Robotic System With Mismatched Uncertainties
Huang, Jian
Ri, Songhyok
Fukuda, Toshio
Wang, Yongji
[J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 64 (06) : 2480 - 2487

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