The concurrent subspace design (CSD) framework has been used to conduct a preliminary design optimization of an electric powered, unmanned air vehicle (EPUAV) operating at a low Reynolds number. A multidisciplinary sy...The concurrent subspace design (CSD) framework has been used to conduct a preliminary design optimization of an electric powered, unmanned air vehicle (EPUAV) operating at a low Reynolds number. A multidisciplinary system analysis that includes aerodynamics, weights, propulsion, performance and stability and control has been developed for this class of vehicles. The CSD framework employs artificial neural network based response surfaces to provide approximations to the design space. The EPUAV system includes 25 continuous and 4 discrete design variables. The CSD framework was able to identify feasible designs with significant weight reductions relative to any previously considered (i.e. initial database) designs. This was accomplished with a limited number of system analyses. The results also demonstrate the nature of this design framework adaptive to changes in design requirements.展开更多
针对大中型无人战斗机(Unmanned Combat Air Vehicle, UCAV)在中空环境下抵抗攻击和生存能力弱的问题,本文研究一种箔条干扰弹投放策略优化算法。该算法以发现概率为评估指标,在一定发现概率范围内寻求每个时隙下箔条干扰弹的最优投放...针对大中型无人战斗机(Unmanned Combat Air Vehicle, UCAV)在中空环境下抵抗攻击和生存能力弱的问题,本文研究一种箔条干扰弹投放策略优化算法。该算法以发现概率为评估指标,在一定发现概率范围内寻求每个时隙下箔条干扰弹的最优投放策略。研究旨在尽量推迟UCAV被发现的时间,甚至实现全程都未被察觉,从而节省资源损耗,提高UCAV的生存能力和任务成功率。首先,建立箔条走廊掩护场景模型和发现概率模型;随后,形成时隙特定的箔条干扰弹数量最小化问题,并提出相应约束条件;最后,深入分析优化问题,结合数学分析方法,对最小化问题进行求解,得到每个时隙下的箔条干扰弹最优投放策略。仿真结果表明,所提出方法能够在降低发现概率的同时,减少我方作战资源的消耗,具有有效性和良好的健壮性。展开更多
文摘The concurrent subspace design (CSD) framework has been used to conduct a preliminary design optimization of an electric powered, unmanned air vehicle (EPUAV) operating at a low Reynolds number. A multidisciplinary system analysis that includes aerodynamics, weights, propulsion, performance and stability and control has been developed for this class of vehicles. The CSD framework employs artificial neural network based response surfaces to provide approximations to the design space. The EPUAV system includes 25 continuous and 4 discrete design variables. The CSD framework was able to identify feasible designs with significant weight reductions relative to any previously considered (i.e. initial database) designs. This was accomplished with a limited number of system analyses. The results also demonstrate the nature of this design framework adaptive to changes in design requirements.
文摘针对大中型无人战斗机(Unmanned Combat Air Vehicle, UCAV)在中空环境下抵抗攻击和生存能力弱的问题,本文研究一种箔条干扰弹投放策略优化算法。该算法以发现概率为评估指标,在一定发现概率范围内寻求每个时隙下箔条干扰弹的最优投放策略。研究旨在尽量推迟UCAV被发现的时间,甚至实现全程都未被察觉,从而节省资源损耗,提高UCAV的生存能力和任务成功率。首先,建立箔条走廊掩护场景模型和发现概率模型;随后,形成时隙特定的箔条干扰弹数量最小化问题,并提出相应约束条件;最后,深入分析优化问题,结合数学分析方法,对最小化问题进行求解,得到每个时隙下的箔条干扰弹最优投放策略。仿真结果表明,所提出方法能够在降低发现概率的同时,减少我方作战资源的消耗,具有有效性和良好的健壮性。
