Douglas Hawkins
Control and Systems Engineering · 2011–2018
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 13 citations into it
- Electrical and Electronic Engineering — 13 citations into it
- Electronic, Optical and Magnetic Materials — 9 citations into it
Whom Douglas Hawkins trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Z. Q. Zhu (in Electrical and Electronic Engineering)
- David Howe (in Control and Systems Engineering)
Papers from Douglas Hawkins's perspective
Ordered by how strongly the researchers Douglas Hawkins trusts endorse each paper. Same corpus, a different order for every researcher.
- Analytical calculation of magnetic field distribution in the slotted air gap of a surface permanent-magnet motor using complex relative air-gap permeance (IEEE transactions on magnetics)
- Eddy-current loss in the rotor magnets of permanent-magnet brushless machines having a fractional number of slots per pole (IEEE transactions on magnetics)
- Analytical Solution of the Magnetic Field in Permanent-Magnet Motors Taking Into Account Slotting Effect: No-Load Vector Potential and Flux Density Calculation (IEEE transactions on magnetics)
- Analytical Solution for Cogging Torque in Surface Permanent-Magnet Motors Using Conformal Mapping (IEEE transactions on magnetics)
- An Accurate Subdomain Model for Magnetic Field Computation in Slotted Surface-Mounted Permanent-Magnet Machines (IEEE transactions on magnetics)
- Rotor loss in permanent-magnet brushless AC machines
- Electrical Machines and Drives for Electric, Hybrid, and Fuel Cell Vehicles (Proceedings of the IEEE)
- Fractional-Slot Concentrated-Windings Synchronous Permanent Magnet Machines: Opportunities and Challenges (IEEE transactions on industrial electronics (1982. Print))
- Unbalanced Magnetic Forces in Permanent-Magnet Brushless Machines With Diametrically Asymmetric Phase Windings (IEEE transactions on industry applications)
- Improved analytical model for predicting the magnetic field distribution in brushless permanent-magnet machines