The Application of Grey Theory in the Data Analysis of Ground Calibration Test for Unmanned Aerial Vehicles' Main Landing Gear

J.-R. Wang, C.-F. Huang, J.-H. Lee, and C.-H. Chu (Taiwan)


GM(1,1) model, Grey system theory, Landing gear, Ground calibration test, Load.


In the past, a lot of resources have been invested into the research and development of unmanned aerial vehicles. Landing gear is one of the major components for the structure; the theoretical analysis of landing gear’s load has many external limitations. Therefore, in order to ensure the flight safety, flying measurement becomes a necessary step. Before the flying measurement takes place, ground calibration test (GCT) is required to obtain the relationship between the structural strain and the load. Traditionally, we utilize regression analysis method to analyze GCT test data. To ensure the accuracy of regression method, we use the GM(1,1) model of grey system theory at the same time. There are a lot of successful applications about grey system theory in the domain of engineering. In this study, we try to utilize GM(1,1) model in grey system theory to analyze the experiment data. After compare with regression analysis results, it is proved that grey system theory can also produce the same accurate outputs. The comparison for analysis is consistent with each other. We can find that it is quite match for our purpose, especially in reliability and also proves the potential of grey system theory in the domain of aerospace technology.

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