脉冲力控制的离散性和弹体动力学的连续性使得脉冲力控制制导控制系统成为难于分析的混杂控制系统。鉴于此,建立了脉冲力控制弹体和制导回路动力学模型,通过将脉冲力控制制导系统等价为幅值式脉冲调制(amplitude pulse frequency modula...脉冲力控制的离散性和弹体动力学的连续性使得脉冲力控制制导控制系统成为难于分析的混杂控制系统。鉴于此,建立了脉冲力控制弹体和制导回路动力学模型,通过将脉冲力控制制导系统等价为幅值式脉冲调制(amplitude pulse frequency modulator,APF-M)系统,解决了脉冲力控制制导回路的变周期离散化建模问题。进一步利用滑模理论分析了制导回路的稳定性,得出脉冲冲量、喷管点火等待时间及重力对制导回路稳定性的影响。提出了偏置阈值法进行重力补偿,并对脉冲力控制制导回路进行了仿真分析。仿真结果验证了偏置阈值法重力补偿的有效性,并得出加大脉冲冲量,减小喷管点火等待时间能有效减缓失调角发散的结论。展开更多
The remain passenger problem at subway station platform was defined initially,and the period variation of remain passenger queues at platform was investigated through arriving and boarding analyses.Taking remain passe...The remain passenger problem at subway station platform was defined initially,and the period variation of remain passenger queues at platform was investigated through arriving and boarding analyses.Taking remain passenger queues at platform as dynamic stochastic process,a new probabilistic queuing method was developed based on probabilistic theory and discrete time Markov chain theory.This model can calculate remain passenger queues while considering different directions.Considering the stable or variable train arriving period and different platform crossing types,a series of model deformation research was carried out.The probabilistic approach allows to capture the cyclic behavior of queues,measures the uncertainty of a queue state prediction by computing the evolution of its probability in time,and gives any temporal distribution of the arrivals.Compared with the actual data,the deviation of experimental results is less than 20%,which shows the efficiency of probabilistic approach clearly.展开更多
文摘脉冲力控制的离散性和弹体动力学的连续性使得脉冲力控制制导控制系统成为难于分析的混杂控制系统。鉴于此,建立了脉冲力控制弹体和制导回路动力学模型,通过将脉冲力控制制导系统等价为幅值式脉冲调制(amplitude pulse frequency modulator,APF-M)系统,解决了脉冲力控制制导回路的变周期离散化建模问题。进一步利用滑模理论分析了制导回路的稳定性,得出脉冲冲量、喷管点火等待时间及重力对制导回路稳定性的影响。提出了偏置阈值法进行重力补偿,并对脉冲力控制制导回路进行了仿真分析。仿真结果验证了偏置阈值法重力补偿的有效性,并得出加大脉冲冲量,减小喷管点火等待时间能有效减缓失调角发散的结论。
基金Project(2011BAG01B01) supported by the Major State Basic Research and Development Program of ChinaProject(RCS2012ZZ002) supported by the State Key Lab of Rail Traffic Control and Safety,China
文摘The remain passenger problem at subway station platform was defined initially,and the period variation of remain passenger queues at platform was investigated through arriving and boarding analyses.Taking remain passenger queues at platform as dynamic stochastic process,a new probabilistic queuing method was developed based on probabilistic theory and discrete time Markov chain theory.This model can calculate remain passenger queues while considering different directions.Considering the stable or variable train arriving period and different platform crossing types,a series of model deformation research was carried out.The probabilistic approach allows to capture the cyclic behavior of queues,measures the uncertainty of a queue state prediction by computing the evolution of its probability in time,and gives any temporal distribution of the arrivals.Compared with the actual data,the deviation of experimental results is less than 20%,which shows the efficiency of probabilistic approach clearly.
