Trade-off design of measurement tap configuration and solving model for a flush air data sensing system

This paper presents a trade-off design scheme with consideration of the pressure-tap configuration and solving model for a Flush Air Data Sensing System (FADS). First, a mechanism model of FADS is built for the basic structure in order to transform the measured pressures to the required air data. Then, several iteration algorithms are introduced for FADS to obtain the converging results of the solving model. Furthermore, four kinds of the pressure-tap configurations are designed in the relation to the basic structure, and the issues on the iteration convergence and modeling errors are discussed to analyze the compromise relations between the pressure-tap configuration and solving model. Lastly, a simulation example is applied to verify the feasibility of this proposed scheme, and at the same time some suggestions in the real application are provided for FADS.