Evasion guidance for air-breathing hypersonic vehicles against unknown pursuer dynamics

Abstract

The rapid development of hypersonic vehicles has motivated the related research dramatically while the evasion of the hypersonic vehicles becomes one of the challenging issues. Different from the work based on the premise that the pursuers’ information is fully known, in this paper the evasion guidance for air-breathing hypersonic vehicles (AHVs) against unknown pursuer dynamics is studied. The gradient descent is employed for parameter estimation of the unknown dynamics of the pursuer. The energy-optimized evasion guidance algorithm is further developed by taking the acceleration constraint and energy optimization into consideration. Under the proposed algorithm, the system can deal with the unknown pursuer dynamics effectively and provide more practical guidance for the evasion process. The simulation results show that the proposed method can enable the AHV to achieve successful evasion.

Neural learning control of missile interception against dynamics uncertainty and target evasive maneuver

“…According to References 44 and 45, the interval of $$$ r\left({t}_f\right) $$$ for achieving hit‐to‐kill accuracy is chosen as $$$ \left[0,1.5\right] $$$ m. in the interception cases of this paper.…”

Air-breathing hypersonic vehicle trajectory optimization with uncertain no-fly zones

“…Some existing work circumvents this problem using relatively simple propulsion system models. 14,15 In this work, we build a hybrid algorithm for ABHV with complex propulsion-pneumatic coupling based on convex optimization, 8 which has shown great application potential in recent years because of its serval superior features: 16 Every local minimum is a global minimum; if the objective function is strictly convex, then the problem has at most one optimal point. Some kinds of convex problems, like the second-order cone programing (SOCP), can be solved efficiently by primal-dual interior-point methods (IPMs) that only have polynomial complexity.…”

Special issue on computational intelligence-based modeling, control and estimation in modern mechatronic systems

“…Tan et al [15] propose a novel algorithm based on minimizing the area of a boundary enclosing partial scan data points for detecting both the pose and assembly of tubular joints with the aid of reference ideal models. Yan et al [16] study the evasion guidance for airbreathing hypersonic vehicles (AHVs) against unknown pursuer dynamics, where the gradient descent is employed for parameter estimation of the unknown dynamics of the pursuer. Fang et al [17] present a method for minimizing the power consumption of a data-center cooling system by optimizing the airflow pattern and the supplied cold air temperature simultaneously.…”