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Efstathios Chachamis

dblp:383/4671 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Motion planning and robot control · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
robust control
0.812024
On Robust Control Laws Trade-off Analysis for Space Manipulators with Uncertain Parameters and Flexible Appendages · ICRA 2024
Robotics › Motion planning and robot control › manipulator control
space manipulator control
0.812024
On Robust Control Laws Trade-off Analysis for Space Manipulators with Uncertain Parameters and Flexible Appendages · ICRA 2024
Robotics › Motion planning and robot control
robot control
0.212024
On Robust Control Laws Trade-off Analysis for Space Manipulators with Uncertain Parameters and Flexible Appendages · ICRA 2024

Methods — techniques the papers use, named apart from their topics

model-based PD control · 0.8h-infinity control · 0.8LPV control · 0.8
YearPublicationVenuePosition
2024 On Robust Control Laws Trade-off Analysis for Space Manipulators with Uncertain Parameters and Flexible Appendages
abstract
To accurately accomplish on-orbit tasks using Space Manipulator Systems (SMS), advanced model-based controllers, dependent on the knowledge of SMS parameters, can be employed. However, these parameters may change on orbit for several reasons. Also, during an SMS task, excitation of flexible appendages, such as solar panels, or fuel sloshing may introduce significant end-effector errors. Therefore, controllers robust to parametric uncertainty and disturbances are needed. A robust controller attractive due to its small computational effort is the Linear Parameter Varying (LPV) gain-scheduled controller. However, its design for spatial SMS is not trivial and has not been studied yet. Therefore, the aim of this work is to study and compare robust controllers and examine their applicability to SMS. An LPV plus H∞controller is compared with a Model-Based PD, and a Model-Based PD plus H∞controller, in the presence of parametric uncertainty, noisy measurements and disturbances, using a planar example. The criteria considered include: (i) Design Complexity, (ii) Trajectory Errors, (iii) Required Torques, and (iv) Computational Effort.
Kostas Nanos, Efstathios Chachamis, Evangelos Papadopoulos
ICRA2