Investigation and Comparison of Different Fly-by-Wire Controlled Trailing Edge Systems on the Airbus A320

In order to further improve aircraft performance, multifunctional control surfaces become more and more important. The integration of multifunctional control surfaces causes a significant increase in the overall system complexity. Novel design methods have to be used by the involved engineers and designers in order to assess system performance, system interdependencies and safety issues in an early stage of the design process. One powerful method that is used to support the development of complex mechatronic systems, is the so called physical modeling approach. Within the scope of this thesis, the physical modeling approach shall be applied on two different aircraft trailing edge configurations.First, the regular Airbus A320 trailing edge system architecture is analyzed regarding involved components and system interdependencies. Key components are then modeled within the MatLab Simscape environment. The component models are assembled step by step, such that a full-scale A320 trailing edge model is generated. The same component models are then used to model a second trailing edge configuration which has been developed in the Low Drag Aircraft in Operation project. Both trailing edge configurations are then subjected to typical failure conditions and the resulting system performance is analyzed.It will be shown that the Low Drag Aircraft in Operation wing configuration has to be supplied by a more powerful hydraulic system then the current A320. Furthermore, important information regarding physical modelling in MatLab Simcape will be given. The component library proposed in this work will be complemented with additional components and might be validated against experimental data by the German Aerospace Center in subsequent work.*****In order to further improve aircraft performance, multifunctional control surfaces become more and more important. The integration of multifunctional control surfaces causes a significant increase in the overall system complexity. Novel de