Uncertainty-resilient constrained rendezvous trajectory optimization via stochastic feedback control and unscented transformation

Yuan, Hao; Li, Dongxu; He, Guanwei; Wang, Jie

doi:10.1016/j.actaastro.2024.03.017

Acta Astronautica

2024

DOI: 10.1016/j.actaastro.2024.03.017

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Uncertainty-resilient constrained rendezvous trajectory optimization via stochastic feedback control and unscented transformation

Hao Yuan,

Dongxu Li,

Guanwei He

et al.

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2024

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Cited by 2 publications

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Robust Trajectory Control for Multitarget Tracking in Proximity Operations

Zhang,

Xue,

Cai

et al. 2024

Journal of Guidance, Control, and Dynamics

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Robust Trajectory Control for Multitarget Tracking in Proximity Operations

Zhang,

Xue,

Cai

et al. 2024

Journal of Guidance, Control, and Dynamics

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Robust Trajectory Planning of Gliding-Guided Projectiles with Weak Maneuverability

Yin,

Chen,

Wang

et al. 2024

Aerospace

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Due to constraints in launch platforms and cost, the maneuverability of gliding-guided projectiles is limited, necessitating a rational design of their trajectory schemes. To reduce the sensitivity of trajectory schemes to uncertainties while ensuring compatibility between flight schemes and guidance control systems and fully exploiting the control capability of the projectile, a closed-loop robust trajectory planning method is proposed. Models of major uncertain factors and state deviation at the control start point are established. Based on the NIPCE method, the stochastic dynamic model is transformed into a high-dimensional deterministic model with PCE coefficients as state variables, and the uncertainty propagation law is obtained. A PID algorithm is employed to design a tracking guidance law based on position error feedback, and open-loop and closed-loop robust trajectory planning models are established accordingly. The optimal control problem is solved by transforming it into a nonlinear programming problem using the direct shooting method. Our simulation results indicate that the NIPCE method can significantly improve the computational efficiency of uncertainty propagation while ensuring accuracy; compared with parallel MCS, the computation time is reduced by 96.8%. Open-loop robust planning can effectively mitigate the sensitivity of gliding trajectories to uncertainties (the standard deviations of terminal altitude and lateral deviations are reduced by 23.6% and 35.3%, respectively, compared to deterministic planning) but cannot completely eliminate terminal dispersion. Closed-loop robust planning effectively improves control effort consumption on the basis of open-loop planning.

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Uncertainty-resilient constrained rendezvous trajectory optimization via stochastic feedback control and unscented transformation

Cited by 2 publications

References 44 publications

Robust Trajectory Control for Multitarget Tracking in Proximity Operations

Robust Trajectory Control for Multitarget Tracking in Proximity Operations

Robust Trajectory Planning of Gliding-Guided Projectiles with Weak Maneuverability

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