EKF Based Wind Velocity Estimation without an Airspeed Sensor for Unpowered Gliding Vehicle

摘要：

　　In this paper,in order to estimate air speed and wind speed using only GPS/INS navigation system without any additional equipment such as pitot tube,extended Kalman filter is developed using 6 DOF equation of motion.The state variables of the filter are defined to air speed,rotational angular rate and attitude of the body frame axis.The measurements of the filter are rotational angular velocity and attitude from the GPS/INS integrated system.After the air speed is estimated,the wind velocity can be obtained by calculating the difference between the air speed and the ground velocity observed from the navigation system.But,the algorithm does not consider error covariance of measured ground velocity.To solve this problem,additional Kalman filter is constructed whose states are wind speed along the x,y,z axis and measurements are estimated wind velocity from above extended Kalman filter.The simulation results are shows that the estimation performance is improved by additional Kalman filter.

关键词： airspeed estimation wind speed estimation wind field unpowered gliding vehicle

作者: Yong-Gonjong Park Chan Gook Park

作者单位: Department of Mechanical and Aerospace Engineering,Seoul National University,Seoul,151-742,South Kor Department of Mechanical and Aerospace Engineering/Automation and Systems Research Institute,Seoul N

会议类型: 国际会议

会议名称: 2014 Asia-Pacific International Symposium on Aerospace Technology(2014亚太航空航天技术学术会议)

会议地点: 上海

会议语种:英文

页码: 1-12

在线出版日期: 2014-09-24（万方平台首次上网日期，不代表论文的发表时间）