Research on State Estimation of Hypersonic Glide Vehicle

Abstract

Abstract:In order to estimate the motion state of the hypersonic glide vehicle, a motion model based on the aerodynamic parameters of the prototype CAV-H and an observation model of GEO infrared early-warning satellite were established. The exponential weighted recursive least square method with forgetting factor was used to measure the early-warning satellite observation data with measuring error in angle to obtain a fitting parameter describing the polynomial of the target state, The method can focus on the local motion of the target, dilute the influence of the early observation data on the fitting parameters, reduce the estimation error caused by the target manoeuvring. The simulation result shows that the estimation of both position and velocity of the hypersonic glide vehicle is highly accurate. , but IMM needs parallel computing which is not conducive to rapid response in wartime. And the accuracy depends on the accuracy of the motion model. This paper describes the spatial motion of HGV with high order polynomials, fit discrete observations with errors from GEO infrared warning satellite with Exponential Weighted Recursive Least Squares (EW-RLS), Using interpolation to obtain the position and velocity of the observation time and its neighborhood, Provides foundation for rapid ballistic and tracking observations of HGV targets. Simulation of typical trajectoriesAfter HGV re-enters the atmosphere, it can use aerodynamic force to continuously transform kinetic energy and potential energy, Jump in vertical plane to get out of the warning system to track. Horizontal manoeuvres can also be used to circumvent the impact of defensive weapons [6], In this section, a three-dimensional motion model of HGV reentry segment with control conditions is established based on the published aerodynamic parameters of the US Army's CAV-H prototype, Typical reentry trajectories are simulated and analyzed, which will lay the foundation for subsequent research on reentry interception methods.

A Two-Level Optimization Method for Hypersonic Periodic Cruise Trajectory

“…The optimization of aircraft trajectory is a kind of classic optimal control problem. For a periodic dynamic system whose period is t c , the dynamic equation can be formulated as (9), where x denotes the array of state variables and u means the array of state variables.…”

“…Therefore, it is necessary to establish appropriate performance indices for different stages, which makes the research face different problems [6]. The direction and magnitude of aerodynamic force in the ascending stage are closely related to the direction of thrust, and it is necessary to control the load caused by aerodynamic force [7]; in the cruising stage, it is difficult for hypersonic vehicle to maintain high maneuverability [8], while the constraints of terminal velocity and flight-path angle are very important to the gliding stage [9,10]. Therefore, many researches can be carried out to solve these problems.…”

An LEO Constellation Early Warning System Decision-Making Method Based on Hierarchical Reinforcement Learning

“…As an important component of the U.S. national defense space architecture (NDSA) and next-generation overhead persistent infrared system (NG-OPIR), the space-based tracking layer is an important component of early warning, tracking, and surveillance of missile targets, such as HGVs. Space-based early warning satellite tracking of HGVs is a coherent tracking decision-making process for multi-targets using multi-satellites [ 2 ].…”

A New Intelligent Recognition Method for Maneuver Modes of Re-entry Gliding Vehicle

“…Dong et al [7] use wavelet analysis to identify changes in the mechanical energy of spatial targets submerged in observation noise, and quickly determine whether there is an orbital maneuver. In addition, the use of neural networks in deep learning to achieve maneuver mode classification of time series based on target state information is proved feasible [8][9] . Li et al [10] propose a set of parameters suitable for maneuver mode recognition and parameter estimation based on typical maneuver modes of targets.…”