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Juan Carlos Hernández Ramírez

dblp:274/9373 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

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 · 75% Legged, aerial and field robots · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › flight control
attitude control
0.412020
Nonlinear Vector-Projection Control for Agile Fixed-Wing Unmanned Aerial Vehicles · ICRA 2020
Robotics › Legged, aerial and field robots › aerial robots
fixed-wing UAV
0.412020
Nonlinear Vector-Projection Control for Agile Fixed-Wing Unmanned Aerial Vehicles · ICRA 2020
Robotics › Motion planning and robot control › robot control
nonlinear control
0.412020
Nonlinear Vector-Projection Control for Agile Fixed-Wing Unmanned Aerial Vehicles · ICRA 2020
Robotics › Motion planning and robot control
robot control
0.412020
Nonlinear Vector-Projection Control for Agile Fixed-Wing Unmanned Aerial Vehicles · ICRA 2020

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

vector-projection algorithm · 0.4cascaded control · 0.4
YearPublicationVenuePosition
2020 Nonlinear Vector-Projection Control for Agile Fixed-Wing Unmanned Aerial Vehicles
abstract
Agile fixed-wing aircraft integrate the efficient, high-speed capabilities of conventional fixed-wing platforms with the extreme maneuverability of rotorcraft. This work presents a nonlinear control strategy that harnesses these capabilities to enable autonomous flight through aggressive, time-constrained, three-dimensional trajectories. The cascaded control structure consists of two parts; an inner attitude control loop developed on the Special Orthornormal group that avoids singularities commonly associated with other parametrizations, and an outer position control loop that jointly determines the thrust command and attitude references by implementing a novel vector-projection algorithm. The objective of the algorithm is to decouple roll from the reference attitude to ensure that thrust and lift forces can always be pointed such that position errors converge to zero. The proposed control system represents a single, unified solution that remains effective throughout the aircraft's flight envelope, including aerobatic operation. Controller performance is verified through simulations and experimental flight tests; results show the unified control scheme is capable of performing a wide range of operations that would normally require multiple, single-purpose controllers, and their associated switching logic.
Juan Carlos Hernández Ramírez, Meyer A. Nahon
ICRA1