Optimizing algorithms of the attitude of the flying objects

The testing system and the attitude-calculating model are two important aspects for confirming the attitude of an aircraft. Errors produced by the testing system and the attitude-calculating model are important elements which affect the precision of the attitude. It is very pivotal to analyze the different sources and mechanism of errors to get highly precise data. We study the simulation and optimized technology of the attitude algorithms of flying objects based on an accelerometer array, and analyze the different error sources and their mechanisms in the attitude testing system of flying objects. Moreover, according to the identities of the error sources, an error model is presented. By analyzing the characteristics of different algorithm models, the simulation comparison and optimization are models between the error models. This study has significant meanings for the determination of different state parameters of flying objects during the flying process, such as attitude, coordinates, etc.