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Hemant Melkote

dblp:60/3811 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1999
—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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 50% Electronic design automation · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems
manufacturing systems
0.011999
Closed-Loop Control of a Base XY Stage with Rotational Degree-of-Freedom for a High-Speed Ultra-Accurate Manufacturing System · ICRA 1999
Electronic design automation › hardware verification and test › VLSI testing
wafer testing
0.011999
Closed-Loop Control of a Base XY Stage with Rotational Degree-of-Freedom for a High-Speed Ultra-Accurate Manufacturing System · ICRA 1999

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

robust control · 0.0nonlinear control · 0.0adaptive control · 0.0
YearPublicationVenuePosition
1999 Closed-Loop Control of a Base XY Stage with Rotational Degree-of-Freedom for a High-Speed Ultra-Accurate Manufacturing System
abstract
Modeling and control of a high-speed ultra-accurate XY stage used in manufacturing systems is considered in this paper. The base XY stage is a two dimensional linear stepper (Sawyer) motor including a rotational (yaw) degree-of-freedom. Manufacturing systems based on Sawyer motors are widely used in wafer probing applications and in automated assembly. A Sawyer sensor is being integrated for measuring the motor's position, velocity and yaw rotation for closed-loop control purposes on our testbed at the CRRL. Utilizing results on robust control of nonlinear systems, an adaptive current-level controller is designed for the motor that renders the closed-loop system robust to a variety of uncertainties and disturbances. A detailed model of the motor that takes into account the significant uncertainties of the motor is used in the control design. The tracking error is shown to asymptotically converge to the origin. Simulation studies are presented to validate the controller performance.
Hemant Melkote, Farshad Khorrami
ICRA1