C
Chris Gerada
Researcher at University of Nottingham
Publications - 634
Citations - 10494
Chris Gerada is an academic researcher from University of Nottingham. The author has contributed to research in topics: Rotor (electric) & Stator. The author has an hindex of 37, co-authored 555 publications receiving 7161 citations. Previous affiliations of Chris Gerada include The University of Nottingham Ningbo China & Beihang University.
Papers
More filters
Journal ArticleDOI
High-Speed Electrical Machines: Technologies, Trends, and Developments
TL;DR: This paper reviews the current technologies used in high-speed electrical machines through an extensive survey of different topologies developed and built in the industry and academia for several applications.
Journal ArticleDOI
Multiphase Power Converter Drive for Fault-Tolerant Machine Development in Aerospace Applications
L. De Lillo,Lee Empringham,Patrick Wheeler,Sudarat Khwan-on,Chris Gerada,M.N. Othman,Xiaoyan Huang +6 more
TL;DR: A multiphase two-level inverter using a flexible and reliable field-programmable gate-array/digital-signal-processor controller for data acquisition, motor control, and fault monitoring to study the fault tolerance of such systems.
Journal ArticleDOI
Design and Initial Testing of a High-Speed 45-kW Switched Reluctance Drive for Aerospace Application
TL;DR: This paper presents innovative research toward the development of a 45-kW high-speed switched reluctance drive as an alternative starter-generator for future aeroengines with a very wide constant power-speed range.
Journal ArticleDOI
A Thermal Improvement Technique for the Phase Windings of Electrical Machines
TL;DR: In this article, the authors present a technique to increase the thermal conductivity path between the center of the slot and the cooling arrangement, thus increasing the heat flow away from the slot center.
Journal ArticleDOI
Design Considerations for a Fault-Tolerant Flux-Switching Permanent-Magnet Machine
TL;DR: A novel stator structure able to achieve a 1-p.u. winding inductance is looked at and design iterations to maximize the torque density are looked at to ensure optimal performance at a system level.