Predefined-time sensorless admittance tracking control for teleoperation systems with error constraint and personalized compliant performance

被引:9
作者
Guo, Shaofan [1 ,2 ]
Ma, Zhiqiang [1 ,2 ]
Li, Longnan [1 ,2 ]
Liu, Zhengxiong [1 ,2 ]
Huang, Panfeng [1 ,2 ]
机构
[1] Northwestern Polytech Univ, Res Ctr Intelligent Robot, Sch Astronaut, Xian 710072, Peoples R China
[2] Northwestern Polytech Univ, Natl Key Lab Aerosp Flight Dynam, Sch Astronaut, Xian 710072, Peoples R China
基金
中国国家自然科学基金;
关键词
Teleoperation; Admittance control; Observer; Sliding mode control; Predefined-time stability; INTERACTION FORCE ESTIMATION; SLIDING MODE CONTROL; STABILIZATION; STIFFNESS; FEEDBACK;
D O I
10.1109/TIE.2023.3288169
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we present a predefined-time sensorless admittance tracking control scheme for teleoperation systems in the presence of model uncertainty. To achieve personalized compliant performance, an admittance structure with adjustable stiffness parameter is employed, in which the torque behavior is observed by a predefined-time observer (PTO) and the adjustable stiffness parameter is obtained based on the operator's electromyographic (emg) signals. By virtue of the adjustable stiffness parameter, a trade-off can be made between compliant performance in interaction situation and tracking performance in free motion according to operator's requirement. By devising a PTO, lumped uncertainty arising from interaction and model uncertainty can be exactly observed within a predefined time, in conjunction with the nonsingular predefined-time terminal sliding manifold and predefined-time performance function (PTPF), and thereby contributing the entire PTO-based predefined-time control (PTO-PTC) scheme which can track the generated admittance trajectory fast and accurately without violating the error constraint. The observation and trajectory tracking errors can converge to the origin and its neighborhood within a predefined time, respectively, and the upper bound of the setting time can be determined with an explicit parameter in advance. Simulation and experiments are conducted to demonstrate the effectiveness of the proposed PTO-PTC scheme.
引用
收藏
页码:6161 / 6171
页数:11
相关论文
共 38 条
[1]   Tele-impedance: Teleoperation with impedance regulation using a body-machine interface [J].
Ajoudani, Arash ;
Tsagarakis, Nikos ;
Bicchi, Antonio .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2012, 31 (13) :1642-1655
[2]  
Aldana-Lopez R., 2022, ARXIV
[3]   A redesign methodology generating predefined-time differentiators with bounded time-varying gains [J].
Aldana-Lopez, Rodrigo ;
Seeber, Richard ;
Gomez-Gutierrez, David ;
Tulio Angulo, Marco ;
Defoort, Michael .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2023, 33 (15) :9050-9065
[4]   A predefined-time first-order exact differentiator based on time-varying gains [J].
Aldana-Lopez, Rodrigo ;
Gomez-Gutierrez, David ;
Trujillo, Miguel A. ;
Navarro-Gutierrez, Manuel ;
Ruiz-Leon, Javier ;
Becerra, Hector M. .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (11) :5510-5522
[5]   Controlling Ocean One: Human-robot collaboration for deep-sea manipulation [J].
Brantner, Gerald ;
Khatib, Oussama .
JOURNAL OF FIELD ROBOTICS, 2021, 38 (01) :28-51
[6]   Reinforcement Learning-Based Fixed-Time Trajectory Tracking Control for Uncertain Robotic Manipulators With Input Saturation [J].
Cao, Shengjie ;
Sun, Liang ;
Jiang, Jingjing ;
Zuo, Zongyu .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (08) :4584-4595
[7]   Analysis of Coupling Effect in Human-Commanded Stiffness During Bilateral Tele-Impedance [J].
Doornebosch, Luuk Maria ;
Abbink, David A. ;
Peternel, Luka .
IEEE TRANSACTIONS ON ROBOTICS, 2021, 37 (04) :1282-1297
[8]   Development of an Integrated Haptic Sensor System for Multimodal Human-Computer Interaction Using Ultrasonic Array and Cable Robot [J].
Fan, Liqiang ;
Song, Aiguo ;
Zhang, Haochen .
IEEE SENSORS JOURNAL, 2022, 22 (05) :4634-4643
[9]   Robot-Assisted Teleoperation Ultrasound System Based on Fusion of Augmented Reality and Predictive Force [J].
Fu, Yongqing ;
Lin, Weiyang ;
Yu, Xinghu ;
Rodriguez-Andina, Juan J. J. ;
Gao, Huijun .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 70 (07) :7449-7456
[10]   A Scalable Framework for Multi-Robot Tele-Impedance Control [J].
Garate, Virginia Ruiz ;
Gholami, Soheil ;
Ajoudani, Arash .
IEEE TRANSACTIONS ON ROBOTICS, 2021, 37 (06) :2052-2066