2017
DOI: 10.1177/0142331216688751
|View full text |Cite
|
Sign up to set email alerts
|

Performance analysis in delayed nonlinear bilateral teleoperation systems by force estimation algorithm

Abstract: This paper establishes a novel control strategy for a nonlinear bilateral teleoperation system with time delay. Besides position and velocity signals, force signals are additionally utilized in the control scheme. This modification significantly improves the poor transparency during contact with the environment. To eliminate the external force measurement, a force estimation algorithm is proposed for the master and slave robots. The closed loop stability of the nonlinear teleoperation system with the proposed … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 27 publications
(32 reference statements)
0
2
0
Order By: Relevance
“…where Υ = 2( 1 − 3 2 ℎ 2 − 4 2 ) Based on (26), the term − ∑ 2 is always non-positive. Therefore, by setting 1 ≥ 3 2 ℎ 2 + 4 2 , ̇2 can be guaranteed to be negative, and belongs to 2 space that makes the force/torque tracking errors fast converge to zero in the finite time.…”
Section: Theoremmentioning
confidence: 99%
“…where Υ = 2( 1 − 3 2 ℎ 2 − 4 2 ) Based on (26), the term − ∑ 2 is always non-positive. Therefore, by setting 1 ≥ 3 2 ℎ 2 + 4 2 , ̇2 can be guaranteed to be negative, and belongs to 2 space that makes the force/torque tracking errors fast converge to zero in the finite time.…”
Section: Theoremmentioning
confidence: 99%
“…In Azimifar et al (2018), the authors designed a force observer based on accurate system model and parameter information of the teleoperation system. By measuring the acceleration signal, a force observer was designed in Mohammadi et al (2013), and the usage of the acceleration signal will increase the noise of the system.…”
Section: Introductionmentioning
confidence: 99%