The dynamic parameters of multiple projectiles that are fired using multi-barrel weapons in highfrequency continuous firing modes are important indicators to measure the performance of these weapons.The characteristic...The dynamic parameters of multiple projectiles that are fired using multi-barrel weapons in highfrequency continuous firing modes are important indicators to measure the performance of these weapons.The characteristics of multiple projectiles are high randomness and large numbers launched in a short period of time,making it very difficult to obtain the real dispersion parameters of the projectiles due to the occlusion or coincidence of multiple projectiles.Using six intersecting-screen testing system,in this paper,we propose an association recognition and matching algorithm of multiple projectiles using a temporal and spatial information constraint mechanism.We extract the output signal from each detection screen and then use the wavelet transform to process the output signal.We present a method to identify and extract the time values on which the projectiles pass through the detection screens using the wavelet transform modulus maximum theory.We then use the correlation of the output signals of three parallel detection screens to establish a correlation coefficient recognition constraint function for the multiple projectiles.Based on the premise of linear projectile motion,we establish a temporal and spatial constraint matching model using the projectile’s position coordinates in each detection screen and the projectile’s time constraints within the multiple intersecting-screen geometry.We then determine the time values of the multiple projectiles in each detection screen using an iterative search cycle registration,and finally obtain the flight parameters for the multiple projectiles in the presence of uncertainty.The proposed method and algorithm were verified experimentally and can solve the problem of uncertainty in projectiles flight parameter under different multiple projectile firing states.展开更多
为了准确地描述新能源输出功率的波动性和随机性对多能互补微网系统运行的影响,提出了基于数据驱动的多能微网鲁棒优化方法。首先,在传统区间集合的基础上对新能源出力的不确定参数进行多面体集合建模,然后利用具有时空相关性的新能源...为了准确地描述新能源输出功率的波动性和随机性对多能互补微网系统运行的影响,提出了基于数据驱动的多能微网鲁棒优化方法。首先,在传统区间集合的基础上对新能源出力的不确定参数进行多面体集合建模,然后利用具有时空相关性的新能源出力历史数据建立椭球不确定集合,通过连接高维椭球顶点,建立了数据驱动的凸包多面体集合,接着通过放缩凸包集合更好地对不确定参数进行包络。进一步建立了基于数据驱动的多能互补微网鲁棒优化模型,并采用列与约束生成算法(Column and constraint generation,C&CG)对该模型进行求解。最后通过算例进行仿真对比,结果表明,基于数据驱动的多能互补微网鲁棒优化方法可以减少保守性,提高优化结果鲁棒性,证明了所提方法的有效性。展开更多
基金been supported by Project of the National Natural Science Foundation of China(No.62073256)the Shaanxi Provincial Science and Technology Department(No.2020GY-125)Xi’an Science and Technology Innovation talent service enterprise project(No.2020KJRC0041)。
文摘The dynamic parameters of multiple projectiles that are fired using multi-barrel weapons in highfrequency continuous firing modes are important indicators to measure the performance of these weapons.The characteristics of multiple projectiles are high randomness and large numbers launched in a short period of time,making it very difficult to obtain the real dispersion parameters of the projectiles due to the occlusion or coincidence of multiple projectiles.Using six intersecting-screen testing system,in this paper,we propose an association recognition and matching algorithm of multiple projectiles using a temporal and spatial information constraint mechanism.We extract the output signal from each detection screen and then use the wavelet transform to process the output signal.We present a method to identify and extract the time values on which the projectiles pass through the detection screens using the wavelet transform modulus maximum theory.We then use the correlation of the output signals of three parallel detection screens to establish a correlation coefficient recognition constraint function for the multiple projectiles.Based on the premise of linear projectile motion,we establish a temporal and spatial constraint matching model using the projectile’s position coordinates in each detection screen and the projectile’s time constraints within the multiple intersecting-screen geometry.We then determine the time values of the multiple projectiles in each detection screen using an iterative search cycle registration,and finally obtain the flight parameters for the multiple projectiles in the presence of uncertainty.The proposed method and algorithm were verified experimentally and can solve the problem of uncertainty in projectiles flight parameter under different multiple projectile firing states.
文摘为了准确地描述新能源输出功率的波动性和随机性对多能互补微网系统运行的影响,提出了基于数据驱动的多能微网鲁棒优化方法。首先,在传统区间集合的基础上对新能源出力的不确定参数进行多面体集合建模,然后利用具有时空相关性的新能源出力历史数据建立椭球不确定集合,通过连接高维椭球顶点,建立了数据驱动的凸包多面体集合,接着通过放缩凸包集合更好地对不确定参数进行包络。进一步建立了基于数据驱动的多能互补微网鲁棒优化模型,并采用列与约束生成算法(Column and constraint generation,C&CG)对该模型进行求解。最后通过算例进行仿真对比,结果表明,基于数据驱动的多能互补微网鲁棒优化方法可以减少保守性,提高优化结果鲁棒性,证明了所提方法的有效性。
