|
个人信息Personal Information
研究员 博士生导师
招生学科专业：
仪器科学与技术 -- 【招收硕士研究生】 -- 自动化学院
控制科学与工程 -- 【招收博士、硕士研究生】 -- 自动化学院
电子信息 -- 【招收博士、硕士研究生】 -- 自动化学院
主要任职：南航和美国南加州大学国际联合卓越研究中心主任，全国惯性技术与产品标准化工作组委员，中国电子学会科技咨询委员会委员，中国惯性技术学会惯性系统与测量专业委员会委员，中国宇航学会空间遥感专业委员会委员，《兵工学报》和《中国空间科学技术》编委
其他任职：Aerospace Science and Technology最佳审稿人贡献奖、航空学报优秀审稿专家
性别：男
毕业院校：南京航空航天大学
学历：南京航空航天大学
学位：工学博士学位
所在单位：自动化学院
办公地点：自动化学院1号楼5楼
联系方式：025-84892304-510
电子邮箱：
Barometer Measurement Error Modeling and Correction for UAH Altitude Tracking
点击次数：
所属单位：自动化学院
发表刊物：2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC)
关键字：Barometer Measurement error model Correction Kalman filter
摘要：Altitude is a significant flight parameter for Unmanned Aerial Helicopters(UAH). Traditional vertical damping loop has been used to improve stability of vertical channel of the INS(inertial navigation system) with auxiliary altitude information. Barometer is a common and popular altimeter which can provide the continuous and reliable altitude information, however the measurement performance is rather poor due to several factors, including principle error, drifting behavior and sensitivity to environment changes in pressure uncorrelated with altitude. In this paper, the characteristics of the barometer measurement errors have been thoroughly investigated and we decomposed the barometer measurement errors into three components: principle error, drift error and external disturbance error. We proposed a scheme to estimate and correct the barometer measurement errors. GPS has been utilized in this paper as an auxiliary altimeter. A method has been proposed to estimate and correct the drift error by introducing a factor to change the measurement noise covariance. A serial experiments have been performed to validate the accuracy of the models and illustrate that the proposed method has better performance than normal Kalman filter.
ISSN号：1948-9439
是否译文：否
发表时间：2017-01-01
合写作者：鲍雪,盛守照,戴怡洁,包胜,刘建业
通讯作者：熊智