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Kenji Fujiune

dblp:84/3505 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1995
—ORCID · none

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

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

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 · 91% Robot manipulation · 9%

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 › observer-based control
disturbance observer-based control
0.011995
Positioning Control of Direct Drive Robot with Two-Degree-of-Freedom Compensator · ICRA 1995
Robotics › Motion planning and robot control › robot control › motion control
position control
0.011995
Positioning Control of Direct Drive Robot with Two-Degree-of-Freedom Compensator · ICRA 1995
Robotics › Motion planning and robot control
robot control
0.011995
Positioning Control of Direct Drive Robot with Two-Degree-of-Freedom Compensator · ICRA 1995
Robotics › Robot manipulation › robot actuation
direct-drive robot
0.011995
Positioning Control of Direct Drive Robot with Two-Degree-of-Freedom Compensator · ICRA 1995

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

two-degree-of-freedom compensator · 0.0robust stability · 0.0coprime factorization · 0.0
YearPublicationVenuePosition
1995 Positioning Control of Direct Drive Robot with Two-Degree-of-Freedom Compensator
abstract
Recently, a disturbance observer based controller has been widely used in the industrial world because of its simplicity. However, this method depends on the intuitive approach in determining the disturbance estimation filter, and therefore, more systematic approach is desired. In this paper, we first combine the generalized compensator and the disturbance observer based controller by clarifying the internal structure of the generalized 2-degree-of-freedom (DOF) compensator. Secondly, based on the clarified structure, we derive a robust stability condition, and propose the design algorithm of a free parameter taking into account the condition. The proposed design algorithm is easy to implement and, as a result, we obtain a lower order free parameter than that of the conventional design algorithm. Thirdly, we show by adopting an appropriate coprime factorization that the clarified structure can also be regarded as an extended version of the conventional PD compensator. Finally, we apply the proposed algorithm to a positioning control of a 3-DOF direct drive robot, and show some experimental results to verify the effectiveness of the proposed algorithm.
Jeong Ho Shin, Kenji Fujiune, Tatsuya Suzuki 0001, Shigeru Okuma, Koji Yamada
ICRA2