南京理工大学 智能弹药技术国防重点学科实验室, 江苏 南京 210094
*邮箱: haojieli@njust.edu.cn
收稿:2022-06-13,
网络首发:2023-12-15,
纸质出版:2023-10-30
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张传昊, 李豪杰, 宫雪峰, 等. 基于电子安全系统的巡飞弹引信多态安全逻辑控制方法设计及验证[J]. 兵工学报, 2023,44(10):3079-3090.
Chuanhao ZHANG, Haojie LI, Xuefeng GONG, et al. Design and Verification of Polymorphic Safety Logic Control Method for Cruise Ammunition Fuze Based on Electronic Safety System[J]. Acta Armamentarii, 2023, 44(10): 3079-3090.
张传昊, 李豪杰, 宫雪峰, 等. 基于电子安全系统的巡飞弹引信多态安全逻辑控制方法设计及验证[J]. 兵工学报, 2023,44(10):3079-3090. DOI: 10.12382/bgxb.2022.0522.
Chuanhao ZHANG, Haojie LI, Xuefeng GONG, et al. Design and Verification of Polymorphic Safety Logic Control Method for Cruise Ammunition Fuze Based on Electronic Safety System[J]. Acta Armamentarii, 2023, 44(10): 3079-3090. DOI: 10.12382/bgxb.2022.0522.
为适应巡飞弹群集群作战时安全状态的转换
针对可靠实现保险恢复及再解保的安全控制需求
提出并设计了基于电子安全系统的巡飞弹引信多态安全逻辑控制方法。根据电子安全系统的结构
确定电子安全系统两个现场可编程门阵列(FPGA)之间的输入输出关系及多态安全逻辑控制流程。基于设定的解保逻辑
分析并计算引信安全系统在发射前的意外失效率
其满足引信安全性准则要求。设计FPGA内部运行的状态机来控制巡飞弹引信状态的转换
通过仿真与试验验证在环境信号正常出现时各级保险可正常解除
当环境信号错误出现以及恢复保险等情况下各解保信号与状态也可以按照设定转变。研究结果表明
安全系统可按照预定逻辑实现安全状态控制
满足巡飞弹的作战需求。
To adapt to the transition of the safety state of the cruising missile ammunition in swarm combat and ensure reliable safety recovery and rearming
a polymorphic safety logic control method is proposed for cruise ammunition fuzes based on an electronic safety system. The decision result is selected as the target-based arming environment
and the input-output relationship between the two FPGAs of the electronic safety system and the polymorphic safety logic control process are determined according to the structure of the electronic safety system. Based on the established deprotection logic
the accidental failure rate of the fuze safety system before launch is analyzed and calculated
meeting the safety criteria. By designing two state machines running inside the FPGA to control the transition of the safety state of the cruise ammunition fuze and achieve polymorphic safety logic control
the feasibility is validated through simulation. Experiment results demonstrate successful realization of the designed safety state transition.
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