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Optimal predictive sliding-mode guidance law for intercepting near-space hypersonic maneuvering target
作者姓名:Bolun ZHANG  Di ZHOU
作者单位:School of Astronautics, Harbin Institute of Technology
基金项目:supported by the National Natural Science Foundation of China (No. 61773142);
摘    要:The design of optimal guidance law for intercepting a near-space hypersonic maneuvering target with bounded inputs is considered. Firstly, a maneuvering model for near-space hypersonic aircraft is given. Then, the aircraft acceleration prediction can be obtained using this model with two neural networks. By using the target acceleration prediction, which is taken into account when calculating the Zero Effort Miss(ZEM), an optimal sliding-mode guidance law is proposed to fulfill the guidance task...

收稿时间:17 November 2020

Optimal predictive sliding-mode guidance law for intercepting near-space hypersonic maneuvering target
Bolun ZHANG,Di ZHOU.Optimal predictive sliding-mode guidance law for intercepting near-space hypersonic maneuvering target[J].Chinese Journal of Aeronautics,2022,35(4):320-331.
Institution:School of Astronautics, Harbin Institute of Technology, Harbin 150001, China
Abstract:The design of optimal guidance law for intercepting a near-space hypersonic maneuvering target with bounded inputs is considered. Firstly, a maneuvering model for near-space hypersonic aircraft is given. Then, the aircraft acceleration prediction can be obtained using this model with two neural networks. By using the target acceleration prediction, which is taken into account when calculating the Zero Effort Miss (ZEM), an optimal sliding-mode guidance law is proposed to fulfill the guidance task. An adaptive sliding-mode switch term is designed to deal with actuator saturation and prediction errors. Finally, numerical simulations show that the proposed guidance law can reduce the energy consumption and the terminal acceleration command of the interceptor effectively.
Keywords:Adaptive sliding-mode control  Near-space hypersonic aircraft  Neural networks  Optimal control  Predictive guidance law
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