Robust UKF-based filtering for tracking a maneuvering hypersonic glide vehicle

Huang, Jingshuai; Zhang, Hongbo; Tang, Guojian; Bao, Weimin

doi:10.1177/09544100211051106

Cited by 10 publications

(3 citation statements)

References 29 publications

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“…HGVs possess many characteristics, such as high flight speeds, strong breakthrough maneuver abilities, and wide coverage of airspaces, making them a popular topic in the current research and development of new equipment [1,2]. However, with the rapid development of relevant technologies in air and missile defense systems and the gradual improvement of equipment systems, there have been certain breakthroughs in trajectory tracking and prediction methods for the gliding phase of HGVs [3][4][5][6][7], as well as defensive interception technologies [8,9]. These advancements pose a certain threat and challenge to the survivability of HGVs.…”

Section: Introductionmentioning

confidence: 99%

Multiple Leap Maneuver Trajectory Design and Tracking Method Based on Prescribed Performance Control during the Gliding Phase of Vehicles

Zhang,

Shen

et al. 2024

International Journal of Aerospace Engineering

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A novel standard trajectory design and tracking guidance used in the multiple active leap maneuver mode for hypersonic glide vehicles (HGVs) is proposed in this paper. First, the dynamic equation and multiconstraint model are first established in the flight path coordinate system. Second, the reference drag acceleration-normalized energy (D-e) profile of the multiple active leap maneuver mode is quickly determined by the Newton iterative algorithm with a single design parameter. The range to go error is corrected by the drag acceleration profile update algorithm, and the drag acceleration error of the gliding terminal is corrected by the aerodynamic parameter estimation algorithm. Then, the reference drag acceleration tracking guidance law is designed based on the prescribed performance control method. Finally, the CAV-L vehicle model is used for numerical simulation. The results show that the proposed method can satisfy the design requirements of drag acceleration under multiple active leap maneuver modes, and the reference drag acceleration can be tracked precisely. The adaptability and robustness of the proposed method are verified by the Monte Carlo simulations under various combined deviation conditions.

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Section: Introductionmentioning

confidence: 99%

Multiple Leap Maneuver Trajectory Design and Tracking Method Based on Prescribed Performance Control during the Gliding Phase of Vehicles

Zhang,

Shen

et al. 2024

International Journal of Aerospace Engineering

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“…1 In recent years, many scientific advances in modeling, fault diagnosis, (FDs) and fault-tolerant control (FTC) for HFV have been achieved. [2][3][4][5] However, traditional methods have several limitations. For example, the models become rigid or elastic by simply adding stochastic uncertainties, which cannot describe the non-Gaussian stochastic process.…”

Section: Introductionmentioning

confidence: 99%

Adaptive diagnosis and non-fragile predictive control for HFV engine with non-Gaussian uncertain output

Cheng

Gong

2023

Proceedings of the Institution of Mechanical Engineers, Part G:

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This study presents an adaptive fault estimation and model predictive fault-tolerant control (FTC) for the hypersonic vehicle engine with non-Gaussian uncertain output jet plume. The non-Gaussian probability density function (PDF) describing the plume velocity in a stochastic system is approximated by Type II fuzzy radial basis functions. In the fault observer, the novel prey adaptive estimation method is designed for the valve faults with different amplitudes. Ultimately, this fuzzy-prey fusion adaptive observer shields perturbation and accurately estimates complex faults including incipient and intermittent faults. A predictive tolerant controller compensates for all the faults effects and non-fragile compensation factors of FTC eliminate the perturbation interference, thence the output PDF matches with the expected value. Finally, the more refined internal structure of plume output distribution replaces the local and rough valve position variables, helping this study realizes the hypersonic vehicle engine integrated refine control. Simulation result verifies the effectiveness of the proposed approaches and the superiority compared with the existing method.

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“…Generally, observation platforms can be separated into two main categories in target tracking: ground-based radar [3,6] and satellites [7]. Although ground-based radars are widely used in target tracking, they cannot guarantee the near-space target to be in custody, due to the limited detection range caused by the curvature of the Earth.…”

Section: Introductionmentioning

confidence: 99%

Fast Distributed Multiple-Model Nonlinearity Estimation for Tracking the Non-Cooperative Highly Maneuvering Target

Zhou¹,

Wang²,

Zheng³

et al. 2022

Remote Sensing

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The newly developed near-space vehicle has the characteristics of high speed and strong maneuverability, being able to perform vertical skips and a wide range of lateral maneuvers. Tracking this kind of target with ground-based radars is difficult because of the limited detection range caused by the curvature of the Earth. Compared with ground-based radars, satellite tracking platforms equipped with Synthetic Aperture Radars (SARs) have a wide detection range, and can keep the targets in custody, making them a promising approach to tracking near-space vehicles continuously. However, this approach may not work well, due to the unknown maneuvers of the non-cooperative target, and the limited computing power of the satellites. To enhance tracking stability and accuracy, and to lower the computational burden, we have proposed a Fast Distributed Multiple-Model (FDMM) nonlinearity estimation algorithm for satellites, which adopts a novel distributed multiple-model fusion framework. This approach first requires each satellite to perform local filtering based on its own single model, and the corresponding fusion factor derived by the Wasserstein distance is solved for each local estimate; then, after diffusing the local estimates, each satellite performs multiple-model fusion on the received estimates, based on the minimum weighted Kullback–Leibler divergence; finally, each satellite updates its state estimation according to the consensus protocol. Two simulation experiments revealed that the proposed FDMM algorithm outperformed the other four tracking algorithms: the consensus-based distributed multiple-model UKF; the improved consensus-based distributed multiple-model STUKF; the consensus-based strong-tracking adaptive CKF; and the interactive multiple-model adaptive UKF; the FDMM algorithm had high tracking precision and low computational complexity, showing its effectiveness for satellites tracking the near-space target.

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Robust UKF-based filtering for tracking a maneuvering hypersonic glide vehicle

Cited by 10 publications

References 29 publications

Multiple Leap Maneuver Trajectory Design and Tracking Method Based on Prescribed Performance Control during the Gliding Phase of Vehicles

Multiple Leap Maneuver Trajectory Design and Tracking Method Based on Prescribed Performance Control during the Gliding Phase of Vehicles

Adaptive diagnosis and non-fragile predictive control for HFV engine with non-Gaussian uncertain output

Fast Distributed Multiple-Model Nonlinearity Estimation for Tracking the Non-Cooperative Highly Maneuvering Target

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