Directed energy interception of satellites

She, Harrison; Hettel, Will; Lubin, P. M.

doi:10.1016/j.asr.2019.02.013

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…Then, the incomplete-information game was addressed in [19], and a currently optimal escape strategy was proposed based on estimation for the evader. Moreover, instead of the nearcircle orbit, the elliptical orbital proximity operations differential game was investigated in [20].…”

Section: Introductionmentioning

confidence: 99%

A guidance method for coplanar orbital interception based on reinforcement learning

Zeng

Yanwei

Yang

et al. 2021

J. of Syst. Eng. Electron.

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This paper investigates the guidance method based on reinforcement learning (RL) for the coplanar orbital interception in a continuous low-thrust scenario. The problem is formulated into a Markov decision process (MDP) model, then a welldesigned RL algorithm, experience based deep deterministic policy gradient (EBDDPG), is proposed to solve it. By taking the advantage of prior information generated through the optimal control model, the proposed algorithm not only resolves the convergence problem of the common RL algorithm, but also successfully trains an efficient deep neural network (DNN) controller for the chaser spacecraft to generate the control sequence. Numerical simulation results show that the proposed algorithm is feasible and the trained DNN controller significantly improves the efficiency over traditional optimization methods by roughly two orders of magnitude.

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Section: Introductionmentioning

confidence: 99%

A guidance method for coplanar orbital interception based on reinforcement learning

Zeng

Yanwei

Yang

et al. 2021

J. of Syst. Eng. Electron.

View full text Add to dashboard Cite

show abstract

“…So what are the most viable candidates for new propulsion systems that are currently under study? [34][35][36][37][38][39] DQ. I don't really like the idea of sending a probe.…”

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confidence: 99%