System design and development of a strapdown MEMS air data attitude and head reference system based on self-adaptive Kalman filter
A novel method of designing and developing MEMS ADAHRS (Air Data Attitude and Head Reference System) dedicated to engineering application is introduced in this paper. And a new algorithm of ADAHRS based on self-adaptive Kalman filter is presented. In this ADAHRS algorithm, accelerations measured by accelerometers are corrected by air data, so as to clear the corrupted accelerations in case of maneuver. The results of vehicle-bore test and flight simulation test prove that the design of MEMS ADAHRS is reasonable and feasible, and the system can be applied to battle plane, as well as civil airplane.
air data attitude and heading reference system ，MEMS，strapdown ，self-adaptive Kalman filter
ZHU Shao-hua WANG Fang GUO Zhi-xiang LEI Hong-jie
Flight Automatic Control Research Institute, Xi’an 710065, China
国际会议
2011年亚太航空航天技术学术会议(APISAT 2011)
澳大利亚
英文
1-9
2011-02-28（万方平台首次上网日期，不代表论文的发表时间）