Mr. Xianjun He Profile

Xianjun He

at Nanjing Univ of Science and Technology

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Proceedings Article | 12 March 2021 Paper

Guidance law based on zero effort miss and Q-learning algorithm

Xianjun He, Zhihua Chen, Fang Jia, Mingyu Wu

Proceedings Volume 11763, 117632O (2021) https://doi.org/10.1117/12.2586409

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A novel guidance law is designed in this paper for intercepting a maneuvering target using zero-effort-miss with a reinforcement learning algorithm. After establishing the engagement scenario of the missile and the target in the vertical plane, the expressions of variables during relative motion are derived. Then the line-of-sight rate and the zero-effort-miss are selected as the basis for the Q-learning algorithm. Combining the relative motion variables with Q-learning, the guidance command for decreasing the zero-effort-miss is generated. Finally, the numerical simulation is carried out for validating the effectiveness of the proposed method. The history of reward value and miss distance demonstrate the performance of the provided guidance algorithm.

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