Supercapacitor stability and control for More Electric Aircraft application

Author(s):  
Antonio Russo ◽  
Alberto Cavallo
Author(s):  
Mohamed A. A. Mohamed ◽  
Seang Yeoh ◽  
Jason Atkin ◽  
Mohsen Khalaf ◽  
Serhiy Bozhko

2021 ◽  
Vol 2120 (1) ◽  
pp. 012027
Author(s):  
Ling Jin Loong ◽  
Chockalingam Aravind Vaithilingam ◽  
Gowthamraj Rajendran ◽  
Venkatkumar Muneeswaran

Abstract This paper presents a comprehensive study on the switching effects of wide bandgap devices and the importance of power electronics in an aircraft application. Silicon (Si), silicon carbide (SiC), and gallium nitride (GaN) are wide bandgap devices that act as a power electronic switch in the AC-DC converter for More Electric Aircraft (MEA) applications. Therefore, it is important to observe their converting efficiency to identify the most suitable wide bandgap device among three devices for AC-DC converters in aircraft applications to provide high efficiency and high-power density. In this study, the characteristics of Si, SIC, and GaN devices are simulated using PSIM software. Also, this paper presents the performance of the Vienna rectifier for aircraft application. The Vienna rectifier using Si, SiC, and GaN devices are simulated using PSIM software for aircraft application. GaN with Vienna rectifier provides better performance than Si and SiC devices for aircraft applications among the three devices. It gives high efficiency, high power density, low input current THD to meet IEEE-519 standard, and high-power factor at mains.


Author(s):  
William Dunham ◽  
Brandon Hencey ◽  
Anouck Girard ◽  
Ilya Kolmanovsky

A distributed model predictive controller is developed for the coordination of subsystems in a more electric aircraft, and its performance is compared with the centralized MPC approach. The distributed MPC solution is based on the alternating direction method of multipliers, that allows local subsystem controllers to converge to a system wide optimal solution while enforcing local state and control constraints. Based on simulations, we demonstrate that this distributed approach to coordination of electrical power and engine subsystems has the potential to achieve comparable performance to the centralized solution.


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