Aero-thermal heating constrained midcourse guidance using state-constrained model predictive static programming method  

Aero-thermal heating constrained midcourse guidance using state-constrained model predictive static programming method

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作  者:FU Bin GUO Hang CHEN Kang FU Wenxing WU Xingyu YAN Jie 

机构地区:[1]School of Astronautics,Northwestern Polytechnical University,Xi’an 710072,China [2]Xi’an Microelectronic Technology Institute,Xi’an 710065,China

出  处:《Journal of Systems Engineering and Electronics》2018年第6期1263-1270,共8页系统工程与电子技术(英文版)

基  金:supported by the National Natural Science Foundation of China(61503302);the joint fund of the National Natural Science Foundation Committee and China Academy of Engineering Physics(U1630127)

摘  要:This paper proposes a multiple-constraints-guaranteed midcourse guidance law for the interception of the hypersonic targets. In traditional midcourse law design, the constraints of the aero-thermal heating are rarely taken into consideration. The performance of the infrared detection system may be degraded and the instability of the flight control system may be induced.To address this problem, a state-constrained model predictive static programming method is introduced such that both terminal constraints(position and angle) and optimal energy consumption can be ensured. As a result, a sub-optimal midcourse guidance,guaranteeing the aforementioned multiple-constraints to be never violated, is synthesized. Simulation results demonstrate the effectiveness of the proposed method.This paper proposes a multiple-constraints-guaranteed midcourse guidance law for the interception of the hypersonic targets. In traditional midcourse law design, the constraints of the aero-thermal heating are rarely taken into consideration. The performance of the infrared detection system may be degraded and the instability of the flight control system may be induced.To address this problem, a state-constrained model predictive static programming method is introduced such that both terminal constraints(position and angle) and optimal energy consumption can be ensured. As a result, a sub-optimal midcourse guidance,guaranteeing the aforementioned multiple-constraints to be never violated, is synthesized. Simulation results demonstrate the effectiveness of the proposed method.

关 键 词:midcourse guidance model predictive control optimal control state constraint 

分 类 号:N[自然科学总论]

 

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