Title :
Multi-model based fault detection for the power system of more electric aircraft
Author :
Ji, Y. ; Bals, J.
Author_Institution :
Dept. of Syst. Dynamics & Control, German Aerosp. Center, Wessling, Germany
Abstract :
This paper presents a suitable scheme for the fault detection and isolation of a high voltage DC electrical network in more electric aircraft. Concerning a more electric aircraft architecture comprising one variable frequency generator, one 18-pulse autotransformer, power electronic converters, high voltage DC transmission lines, electromagnetic actuators and numerous constant electrical loads e.g. lighting and PCs, the multi-model detection approach reveals more convenience and feasibility to undertake fault analysis at network level regarding the dynamic change of electrical loads. Right-sized system modelling, computer-aided trimming and linearization with Dymola are discussed. Nullspace based approach is used for synthesis of a residual generator. As demonstration, an application case where a short circuit fault occurs on the output of a buck converter in the more electric aircraft is considered. The designed residual generators are validated on the original nonlinear system with time-domain simulation.
Keywords :
HVDC power convertors; HVDC power transmission; aircraft power systems; fault diagnosis; power system faults; 18-pulse autotransformer; buck converter; computer-aided linearization; computer-aided trimming; electric aircraft power system; electromagnetic actuators; high-voltage DC electrical network; high-voltage DC transmission lines; multimodel-based fault detection; nonlinear system; power electronic converters; right-sized system modelling; time-domain simulation; variable frequency generator; Aerospace electronics; Aircraft; Circuit faults; DC generators; Electrical fault detection; Frequency conversion; Power electronics; Power generation; Power system faults; Voltage;
Conference_Titel :
Asian Control Conference, 2009. ASCC 2009. 7th
Conference_Location :
Hong Kong
Print_ISBN :
978-89-956056-2-2
Electronic_ISBN :
978-89-956056-9-1