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Technical Paper

High-Reactance Permanent Magnet Machine for High-Performance Power Generation Systems

2006-11-07
2006-01-3076
Honeywell is currently working on several projects utilizing high-reactance permanent magnet machines (HRPMM) to develop advanced, high-performance power generation systems (HPPGS). These power generation systems (PGS), offer greatly increased safety and reduced operating costs compared to previous hardware. The approach utilizes an HRPMM that presents reduced short-circuit currents with simplified power topology and specifically developed control algorithms. These architectures offer inherent fail-safe features in that the maximum possible short-circuit current is not significantly higher than the normal operating current. Control approaches are discussed. Methodologies for system optimization to achieve top performance and robust operation are included. These power generators support implementation of on-shaft integration with the plant.
Technical Paper

An Electric Power Generation System for Launch Vehicles

2006-11-07
2006-01-3061
Launch vehicles that use electric actuators for thrust vector or flight control require a safe, reliable and lightweight source of electrical power. Honeywell, working with NASA Glenn Research Center and Lockheed Martin Space Systems, has developed and successfully tested a turbine-driven electric power generation system which meets these needs. This Turbine Power Unit (TPU) uses hydrogen and oxygen propellants which react catalytically to drive a shaft-speed turboalternator mounted on foil bearings. A high-reactance permanent-magnet machine (HRPMM) was selected for this application. The power conditioning and control electronics can be located within the TPU housing and the hydrogen fuel can be used to pressurize the bearings and electronics and to regeneratively cool the machine. A brassboard unit incorporating many of these features was successfully tested at output power levels from 0 to 138 kilowatts (kW).
Technical Paper

Advanced Electric Generators for Aerospace More Electric Architectures

2010-11-02
2010-01-1758
This paper discusses the problem of designing electric machines (EM) for advanced electric generators (AEG) used in aerospace more electric architecture (MEA) that would be applicable to aircraft, spacecraft, and military ground vehicles. The AEG's are analyzed using aspects of Six Sigma theory that relate to critical-to-quality (CTQ) subjects. Using this approach, weight, volume, reliability, efficiency, and cost (CTQs) are addressed to develop a balance among them, resulting in an optimized power generation system. The influence of the machine power conditioners and system considerations are also discussed. As a part of the machine evaluation process, speeds, bearings, complexities, rotor mechanical and thermal limitations, torque pulsations, currents, and power densities are also considered. A methodology for electric machine selection is demonstrated. Examples of high-speed, high-performance machine applications are shown.
Journal Article

Advanced Electric Drives for Aerospace More Electric Architectures

2008-11-11
2008-01-2861
This paper discusses the problem of obtaining electric machines (EM) for advanced electric drives (AED) used in more electric architecture (MEA) applicable to aircraft, spacecraft, and military ground vehicles. The AED are analyzed by those aspects of Six Sigma theory that relate to critical-to-quality (CTQ) subjects. Using this approach, weight, volume, reliability, efficiency, and cost CTQ are addressed to develop a balance among them, resulting in an optimized system. The influence of machine controllers and system considerations is discussed. As a part of the machine evaluation process, speeds, bearings, complexities, rotor mechanical and thermal limitations, torque pulsations, currents, and power densities are considered. A methodology for electric machine selection is demonstrated. An example of high-speed, high-performance machine application is shown. A system approach is used for overall electric machine selection and optimization.
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