The Solution of the Dynamics Prediction of Aircraft State

摘要：

　　To monitor aircraft flight status, predict the position of aircraft is needed.By the research of the kalman filter, particle filter, and the best curve fitting method, use the last before time or several before momentss flight state data to predict the state of the aircraft, even forward times state, the dynamically weighted average of the multi-times data can get to the aircraft status data and subsequent flight status data, so the aircraft fly normally and smoothly with the predicted status data, that can get a good visual effect.The algorithm experiment is through the extraction data from the real aircraft data, the average relative error is 0.03%.

关键词： prediction estimation EKF UKF PF

作者: ZHAO Xiuying QUAN Jicheng WEI Jingyuan LIU Yu CHEN Kexiong

作者单位: Aviation University of Airforce,Changchun 130022,China Liaoning Province Academy of Analytic Science,Shenyang 110015,China

会议类型: 国际会议

会议名称: the 3nd International Conference on Digital Manufacturing & Automation (第三届数字制造与自动化国际会议(ICDMA 2012))

会议地点: 桂林

会议语种:英文

页码: 209-212

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）