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Enhanced methods for the determination of flightdynamic parameters are presented in this study. Because of their simple setup this study concentrates on two methods that have to be modified to study the unstable spaceplane configuration PHOENIX. In the wind tunnel method of free oscillation the wind tunnel model is equipped with electrically driven control surfaces and a feedback control system to operate the model in the test section. For the second method a radio controlled model of the spaceplane is dropped from another unmanned aerial vehicle to collect data during its flight. The application of feed forward- and feed back control systems enhances this method to make it applicable to unstable configurations with a high wing loading. In a first step an equation error method is used to identify the parameters of quasi-stationary aerodynamic models. It is shown, that the parameters of the equations for lift, pitch moment and rolling moment show a significant dependency on the frequency of motion. Therefore unsteady aerodynamic models are introduced that integrate these frequency effects with the help of transfer functions. The identified parameters of these unsteady models are shown to be independent from the frequency of motion. A comparison of wind tunnel data with data from the flight tests makes clear, that it is possible to identify precise parameters of quasi-stationary models with this kind of flight tests. The discrepancies between results from the two methods are in the same order than in much more ambitious flight test campaigns.

This thesis describes a method for a mission oriented multidisciplinary design for controlled Micro Air Vehicles (MAV). MAV’s are unmanned air vehicles with maximum dimensions smaller than 50 centimetres, whereby their dimensions are much smaller than the ones a unmanned air vehicles used up to now. Because of the manifold applications for Micro Air Vehicles the mission requirements differ very much. To tap the full potential of a MAV, it is necessary to adapt the Vehicle to the specific mission requirements. For this reason the presented method was developed offering the possibility to adapt the Micro Air Vehicle to user specified mission requirements. Therefore the method performs the aerodynamic design of the configuration, the choice of all necessary hardware components and the determination of the on-board flight controller, which is necessary to improve the flying qualities and to reduce the pilot’s work load. Using an integrated optimization algorithm, which estimates all subsystem similar and at the same time, the best compromise to fulfil the mission requirements is determined. Using several examples of use the function of the design method could be approved. For the final validation of the whole design procedure two Micro Air Vehicles were realized and flight tested. Based on the flight test data the predicted results of the design procedure could be confirmed.