舰载机着舰安全的多维状态空间分析

Multi-dimensional state space model to aircraft-deck landing safety

舰载机着舰过程涉及到来自人员、设备和环境等方面的众多因素,具有多变量非线性和强耦合性,对于实时有效地监控、判断着舰过程的安全状态并进行正确决策构成一定的困难.在阐述面向安全的多维状态空间的内涵的基础上,应用多元统计分析技术提出面向安全的多维状态空间的建模和分析方法,发现系统状态表征数据所反映的过程安全特性.以美军某型舰载机着舰过程统计数据为例,对影响机-舰系统安全状态的诸多变量的特征进行提取,建立面向着舰安全的多维状态空间模型,判定状态空间维数并确定对应的状态变量,为着舰过程的安全分析、监控和决策等提供依据,同时确保过程数据处理更为方便和简化.案例分析结果与真实数据统计结果之间基本保持一致,证实本方法具有较强的工程实用性和可信性.

There are lots of factors from human,machine and environment involved in aircraft-deck landing process,and the factors show multivariable nonlinearity and strong coupling,which brings some difficulty to real-time and effective safety monitoring,identification and decision-making to aircraft-deck landing process.To solve the problem,the principle of multi-dimensional state space to safety was expressed,and multivariable statistics analysis（MSA） was introduced to put forward a method with which the model of multi-dimensional state space to safety could be established and applied on systems analysis,so that the safety characteristics embedded in system state information could be discovered.The deck landing process of a type of USA aircraft was illustrated,characteristic variables that influence aircraft-deck landing safety were extracted based on statistical data,its multi-dimensional state space model describing aircraft-deck landing safety was established,and dimension of the space and the corresponding state variables were identified.The method supported aircraft-deck landing safety analysis,monitoring and decision-making with a reasonable and simplified data processing,and the case analysis result accorded approximately with reality,which demonstrated practicability and credibility of the method.