基于ADC-BP模型的对地攻击无人机自主作战效能评估  

Assessment of Autonomous Combat Effectiveness of Ground-Attack UAV Based on ADC-BP Model

作　　者：邵明军 刘树光[1] 严惊涛 SHAO Mingjun;LIU Shuguang;YAN Jingtao(Equipment Management and Unmanned Aerial Vehicle Engineering School,Air Force Engineering University,Xi’an 710051,China)

机构地区：[1]空军工程大学装备管理与无人机工程学院,西安710051

出　　处：《空军工程大学学报》2023年第6期112-119,共8页Journal of Air Force Engineering University

基　　金：国家自然科学基金(72271243);国家社会科学基金(20BGL307);研究生创新实践基金(CXJ2022045)。

摘　　要：为紧贴实战背景进行对地攻击无人机自主作战效能,提出一种改进ADC模型的效能评估方法。首先,在传统ADC模型的基础上,引入战场环境因素、人为干扰因素,并基于遗传算法优化BP神经网络,重构传统作战能力评估模型,构建基于ADC-BP的自主作战效能评估模型;其次,基于无人机作战任务特点,拓展并归纳影响效能的关键能力指标,构建与作战全过程相适应的评估指标体系;最后,以对地攻击无人机执行压制防空任务为例进行效能评估,结果验证了ADC-BP评估模型的合理性和实用性。In order to evaluate the autonomous combat effectiveness of ground-attack UAV,taking actual combat as a background closely,an autonomous combat effectiveness evaluation method is proposed based on the improved ADC model.Firstly,on the basis of the traditional ADC model,the battlefield environment factors and human interference factors are introduced,and the BP neural network is optimized based on genetic algorithm to reconstruct the traditional combat capability evaluation model,and an autonomous combat effectiveness evaluation model based on ADC-BP is constructed.And then,based on the characteristics of UAV combat mission,the key capability indicators affecting the effectiveness are summarized,and an evaluation index system suitable for the combat process is constructed.Finally,taking suppression of enemy air defense mission performed by a ground-attack UAV as an example,the rationality and practicability of the ADC-BP evaluation model are verified,and this provides a new idea for the evaluation of the autonomous combat effectiveness of ground-attack UAV in the future.

关 键 词：对地攻击无人机 自主作战能力 作战效能评估 ADC模型 BP神经网络 

分 类 号：V279[航空宇航科学与技术—飞行器设计] E91[军事]