New Technique for a Helicopter Flight Model Estimation Based on Flight Test Data

Abstract

In this paper, a new technique for a helicopter model estimation based o n flight test data is presented. The state space helicopter models, for each flight condition, are presented. The method is automatic and is applied when one knows the motion parameters types x, y and u of a real helicopter and in the absence of any seed m atrices. The method is highly convergent, and very good results are obtained for all flight cases. In the introductory part, a bibliographic research is carried on, and the necessary data collection is presented. In the next step, the preliminary estimatio n of seed matrices, for state -space representation is performed using a non -linear model and small perturbation theory. The last paragraph deals with the seed optimization with respect to different flight conditions. In the end, the conclusion on possibili ties to further develop and use the presented methodology is investigated.