TY - JOUR
T1 - 一种改进的运载火箭迭代制导方法
AU - Ma, Zongzhan
AU - Xu, Zhi
AU - Tang, Shuo
AU - Zhang, Qian
N1 - Publisher Copyright:
© 2021, Beihang University Aerospace Knowledge Press. All right reserved.
PY - 2021/2/25
Y1 - 2021/2/25
N2 - To improve the optimality, robustness and adaptability of the guidance method for the launch vehicle in case of thrust fault outside the atmosphere, this paper proposes an improved iterative guidance method which derives the transversality condition with five orbital elements as the terminal constraint using the analytical expression based on the optimal control theory as the optimal control solution, thereby enhancing the optimization of the algorithm. In the iterative process, a Gauss Legendre integral method is adopted to calculate the thrust integral, and a Taylor polynomial approximation method is used to calculate the gravity integral, improving the integration accuracy in the fault mode. The proposed method adopts the dimension reduction iteration mode and the reasonable limiting of the control variables to ensure the real-timeness and convergence of the algorithm under the condition of thrust fault. The simulation results based on the Monte Carlo method and thrust fault conditions show the strong optimality, robustness and fault adaptability of the proposed method.
AB - To improve the optimality, robustness and adaptability of the guidance method for the launch vehicle in case of thrust fault outside the atmosphere, this paper proposes an improved iterative guidance method which derives the transversality condition with five orbital elements as the terminal constraint using the analytical expression based on the optimal control theory as the optimal control solution, thereby enhancing the optimization of the algorithm. In the iterative process, a Gauss Legendre integral method is adopted to calculate the thrust integral, and a Taylor polynomial approximation method is used to calculate the gravity integral, improving the integration accuracy in the fault mode. The proposed method adopts the dimension reduction iteration mode and the reasonable limiting of the control variables to ensure the real-timeness and convergence of the algorithm under the condition of thrust fault. The simulation results based on the Monte Carlo method and thrust fault conditions show the strong optimality, robustness and fault adaptability of the proposed method.
KW - Dimension reduction iteration
KW - Iterative guidance algorithms
KW - Launch vehicles
KW - Thrust fault
KW - Transversality conditions
UR - https://www.scopus.com/pages/publications/85102246713
U2 - 10.7527/S1000-6893.2020.24218
DO - 10.7527/S1000-6893.2020.24218
M3 - 文章
AN - SCOPUS:85102246713
SN - 1000-6893
VL - 42
JO - Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica
JF - Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica
IS - 2
M1 - 324218
ER -