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David Howe

dblp:29/4020 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0003-4942-1300ORCID · reported

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

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2Applied, interdisciplinary, general and emerging computing · 2

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
2 papers
Motion planning and robot control · 68% Robot manipulation · 32%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Energy systems and smart grids · 100%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Integrated circuit design · 55% Embedded and real-time systems · 46%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy systems and smart grids › electric vehicle
electric vehicle powertrain
0.112007
Electrical Machines and Drives for Electric, Hybrid, and Fuel Cell Vehicles · Proc. IEEE 2007
Robotics › Motion planning and robot control
robot control
0.022001
Multi-Degree-of-Freedom Spherical Permanent Magnet Motors · ICRA 2001
Modelling of a novel spherical permanent magnet actuator · ICRA 1997
Robotics › Motion planning and robot control › robot control › model-based control
computed torque control
0.012001
Multi-Degree-of-Freedom Spherical Permanent Magnet Motors · ICRA 2001
Robotics › Robot manipulation
robot actuation
0.012001
Multi-Degree-of-Freedom Spherical Permanent Magnet Motors · ICRA 2001
Integrated circuit design
electric machine design
0.012007
Electrical Machines and Drives for Electric, Hybrid, and Fuel Cell Vehicles · Proc. IEEE 2007
Embedded and real-time systems › actuator design
electromagnetic actuator design
0.011997
Modelling of a novel spherical permanent magnet actuator · ICRA 1997

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

reluctance torque enhancement · 0.1permanent-magnet excitation · 0.1analytical magnetic field modeling · 0.1kinematic analysis · 0.0PD control · 0.0
YearPublicationVenuePosition
2019 Identification of Patient Prescribing Predicting Cancer Diagnosis Using Boosted Decision Trees
Josephine French, Katherine Henson, Brian Shand, Patrick Ferris, Josh Pencheon, Sally Vernon, Meena Rafiq, David Howe, Georgios Lyratzopoulos, Jem Rashbass
AIME9
2007 Electrical Machines and Drives for Electric, Hybrid, and Fuel Cell Vehicles
abstract
This paper reviews the relative merits of induction, switched reluctance, and permanent-magnet (PM) brushless machines and drives for application in electric, hybrid, and fuel cell vehicles, with particular emphasis on PM brushless machines. The basic operational characteristics and design requirements, viz. a high torque/power density, high efficiency over a wide operating range, and a high maximum speed capability, as well as the latest developments, are described. Permanent-magnet brushless dc and ac machines and drives are compared in terms of their constant torque and constant power capabilities, and various PM machine topologies and their performance are reviewed. Finally, methods for enhancing the PM excitation torque and reluctance torque components and, thereby, improving the torque and power capability, are described
Zi-Qiang Zhu, David Howe
Proc. IEEE2
2001 Multi-Degree-of-Freedom Spherical Permanent Magnet Motors
abstract
The paper describes the analysis, design and control of two new versions of spherical permanent magnet motor, which are capable of two and three degrees-of-freedom of controlled motion, and have a high specific torque capability. Their magnetic field distribution is established using an analytical technique formulated in spherical coordinates. This enables the torque vector and back-EMF to be derived in closed forms. An optimal design procedure, to achieve maximum output torque or maximum acceleration for a given payload, is presented. The control of the motors, whose dynamics are similar to those of robotic manipulators, is facilitated by the establishment of a complete actuation system model and the application of the PD or computed torque control law. The validity of the analysis and design techniques, and the effectiveness of the control strategy, are confirmed by measurements.
Jiabin Wang 0002, Ken Mitchell, Geraint Wyn Jewell, David Howe
ICRA4
1997 Modelling of a novel spherical permanent magnet actuator
abstract
A new form of actuator with a spherical permanent magnet rotor and a simple stator winding arrangement is described and analyzed. The actuator incorporates a simple position sensing technique, and, by utilizing a rare-earth permanent magnet and optimizing its design, is capable of developing a high specific torque. The magnetic field distribution, torque vector and back-EMF constants are derived analytically, and a detailed kinematic analysis is presented. These allow a complete and accurate dynamic model of the actuator to be established, and facilitate the development of the closed-loop control law.
Jiabin Wang 0002, Geraint Wyn Jewell, David Howe
ICRA3