TY - JOUR
T1 - Adaptive reentry guidance based on on-board trajectory iterations
AU - Zhao, Di
AU - Shen, Zuojun
N1 - Publisher Copyright:
© 2016, Editorial Board of JBUAA. All right reserved.
PY - 2016/7/1
Y1 - 2016/7/1
N2 - An adaptive method for on-board generation of entry trajectory is presented to effectively tackle the discontinuity of the input data of the guidance system, as the traditional trajectory-tracking guidance method cannot well adapt to saltatorial conditions such as the switch of navigation modes. By real-time polynomial fitting and iteration, the desired altitude-versus-velocity profiles satisfying the final constraints are determined, and then the corresponding angle of attack and bank angle commands are obtained, which guide the vehicle to safely and accurately reach the terminal area of energy management. This method enables the iterations to be fast-converging, as it takes the advantage of building analytical relations between velocity and the state variables including energy, altitude, flight-path angle and range-to-go. Numerical simulations indicate that this method has a strong adaptability against uncertainties such as the error and the saltation of the input data, as well as a better accuracy than the traditional method under various dispersion conditions. It is also proved that this method significantly enhances the autonomy and adaptability of entry guidance under practical application circumstances, compared to the traditional trajectory-tracking guidance method.
AB - An adaptive method for on-board generation of entry trajectory is presented to effectively tackle the discontinuity of the input data of the guidance system, as the traditional trajectory-tracking guidance method cannot well adapt to saltatorial conditions such as the switch of navigation modes. By real-time polynomial fitting and iteration, the desired altitude-versus-velocity profiles satisfying the final constraints are determined, and then the corresponding angle of attack and bank angle commands are obtained, which guide the vehicle to safely and accurately reach the terminal area of energy management. This method enables the iterations to be fast-converging, as it takes the advantage of building analytical relations between velocity and the state variables including energy, altitude, flight-path angle and range-to-go. Numerical simulations indicate that this method has a strong adaptability against uncertainties such as the error and the saltation of the input data, as well as a better accuracy than the traditional method under various dispersion conditions. It is also proved that this method significantly enhances the autonomy and adaptability of entry guidance under practical application circumstances, compared to the traditional trajectory-tracking guidance method.
KW - Adaptability
KW - Analytical profile planning
KW - Polynomial fitting
KW - Reentry guidance
KW - Trajectory iterations
UR - https://www.scopus.com/pages/publications/84980317941
U2 - 10.13700/j.bh.1001-5965.2015.0463
DO - 10.13700/j.bh.1001-5965.2015.0463
M3 - 文章
AN - SCOPUS:84980317941
SN - 1001-5965
VL - 42
SP - 1526
EP - 1535
JO - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
JF - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
IS - 7
ER -