Online Parameters Estimation for Reentry Vehicle in the Hypersonic Regime
The present work was carried out in the framework of the Unmanned Space Vehicles(USV)program,executed by the Italian Aerospace Research Centre(CIRA),with the aim of developing innovative GN&C technologies focused on a complete autonomous atmospheric reentry,including hypersonic flight and landing.In particular the investigation of advanced concepts for online trajectory generation during hypersonic re-entry with the adoption of adaptive guidance laws based on modulation of both bank angle and the angle of attack may represent a significant improvement of guidance flexibility.In order to autonomously adapt the on-board generated trajectory to the current flight conditions without violating any of the required thermal,structural and operational constraints an estimation of some vehicle parameters is necessary.In particular an identification of the aerodynamic coefficients and the velocity of the vehicle is essential to correctly evaluate the constraints during reentry.At this purpose an Extended Kalman Filter(EKF)has been implemented and tested in a reference simulated scenario.
System Identification Extended Kalman Filter Reentry Vehicle
FEDELE Alberto ROMAGNOLI Daniele VITALE Antonio
Italian Aerospace Research Centre(CIRA),Italy
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
6803-6809
2014-07-28（万方平台首次上网日期，不代表论文的发表时间）