INFORMATION-ENERGY METHODOLOGY OF THE AIRCRAFT WITH ELECTRIC PROPULSION ENERGY COMPLEX DESIGN

• Main Authors: B. V. Zhmurov, S. P. Khalyutin, A. O. Davidov
• Format: Article
• Language: Russian
• Published: Moscow State Technical University of Civil Aviation 2017-03-01
• Series: Naučnyj Vestnik MGTU GA
• Subjects: aircraft energy complex; energy design; power supply system; all-electric aircraft; electric propulsion
• Online Access: https://avia.mstuca.ru/jour/article/view/1044

Research in the field of aircraft development shows that from the point of view of sustainability and energy efficiency the most acceptable approach is the transition to all-electric aircraft (AEC). Electrification is aimed primarily on the aircraft most energy-intensive elements efficiency enhancing. Primarily these are power plant and air conditioning system. The actual problem discussed in this article is the development of methodology for the design of aircraft power complex with electric propulsion. The electric power plant literally extends the concept of aircraft power complex. The article considers two-level energy-informational design technology of the aircraft power complex. On the energetic level, the energy flows are optimized, and on the information level, the control laws that ensure restrictions compliance and loss minimization for a given level of entire system reliability are synthesized. From the point of view of sustainability and energy efficiency, the most acceptable is the transition to AEC. The proposed information-energy technique provides an opportunity to develop electric and hybrid aircraft with optimal weight and size and energy characteristics due to: electricity consumption timeline optimization through the redistribution of electric end users switch on moments, which provides a more uniform power mode, allowing the same set of electric users to reduce generator rated power, and as a result reduce the flight weight; manage a distributed system of electricity generation that provides the ability to use diverse energy sources; faul tsafety management based on rapid changes in the power network topology; energy recovery control; the sources, converters and users (input circuit) and power network real-time diagnostic operations.