Research On Some Technologies Of Virtual And Real Integrated Equipment Test

The rapid development of science and technology makes the equipment and its system more and more complex.At the same time,it also profoundly changes the operational style of modern equipments,and makes it gradually reflect the integrated joint operations,systemic confrontation and complex electromagnetic environment and other new features.The equipment test must be adapted to the rapid development of the equipment and the change of its operational style,and it must be changed from focusing on the single performance evaluation to the operational effectiveness and operational applicability evaluation.The equipment test must be also changed from simple test environment to complex operational environment.Thus,it is imperative to carry out the research on the new equipment test method that are suitable for the environment of similar actual combat.At present,great progress has been made in the research of LVC integrated joint simulation technology,and is widely used to build the equipment test environment that close to the actual war.But how to realize the mutualism and deep integration between virtual simulation test resources and real physical test resources on the basis of LVC integrated joint simulation is still an urgent problem to be solved.At the same time,how to give full play to the technical advantage of virtual simulation test method in equipment test and how to make full use of the data advantage of real physical test are also the technical problems that need to be solved in the equipment test at present.Based on the interconnection and interoperability of LVC test resources,the main purpose of this paper is to realize the mutualism and deep fusion of virtual simulation test resources and real physical test resources.We conduct the study by focusing on the basic connotation of the virtual and real integrated equipment test,the description and classification of the simulation system that oriented to data assimilation,data assimilation and its application technologies.At the same time,the effectiveness and superiority of the proposed techniques and algorithms are verified through a large number of equipment test application cases.The main innovations of the thesis are as follows:(1)The basic concept and classification method of virtual and real integrated equipment test method are presented.Based on the research and analysis of the existing theories of equipment test and equipment operational test,the basic concept,characteristics,principles and advantages of virtual and real integrated equipment test method are expounded in this paper.At the same time,according to the interaction between the virtual simulation test and the real physical test,two classification methods of open loop virtual and real integration and closed loop virtual and real integration are presented.In addition,we analysis the distinction and connection between the virtual and real integrated equipement test method and the parallel system technique as well as the dynamically data driven application system.(2)The basic elements and classification of the simulation system oriented to the integration of virtual are studied.The description method oriented to data assimilation is presented.In order to support the integration with real physical test resources,by taking the integration of virtual and real as the starting point,to meet the requirements of data assimilation,the basic elements of the simulation system need to be regularly described and analyzed.In this paper,the simulation model,measurement model,measurement data,simulation state,state transition probability density function and similarity probability density function are taken as the basic elements,and the abstract and canonical description method of the simulation system oriented to the integration of virtual and real is given in this paper.In this paper,according to the practical requirements of virtual and real integrated equipment test,we describe the requirements based classification method of the simulation system.For different types of simulation system,the corresponding workflow is analyzed.(3)A data assimilation algorithm based on random finite sets is proposed.The data assimilation technology is the premise for the simulation system to utilize the data from the real physical test effectively,and it is also the key technology to realize the virtual and real integrated equipment test method.The existing data assimilation algorithms can not adapt to the dynamic characteristics of equipments test process and the uncertainty of measurement process.Therefore,a simulation model and a measurement model based on random finite set theory are proposed in this paper,and a data assimilation algorithm based on random finite sets is formed.The proposed algorithm can effectively support data assimilation in equipement test and has a broad application prospect in other application fields.At the same time,aiming at the difficulty in numerical computation of the proposed algorithm based on random finite sets,this paper proposes two new numerical computation methods based on Gaussian sum and a method based on sequential Monte Carlo.(4)A simulation model calibration algorithm oriented to the integration of virtual and real is proposed.The simulation system oriented to model calibration is an important component of the open loop virual and real integrated equipment test method.The simulation model calibration algorithm is its important supporting technology.Based on the data assimilation algorithm based on random finite sets,this paper studies how to realize simulation model calibration in equipment test,and proposes a simulation model calibration algorithm oriented to the integration of virtual and real.The algorithm can well adapt to the dynamic characteristics in the equipment test process and uncertainty in the measurement process,and effectively support the implementation of the simulation system oriented to simulation model calibration.(5)An online sensor control technology oriented to the integration of virtual and real is proposed.Online sensor control is the typical application of the simulation system oriented to decision support,and it is an important aspect of the closed loop virtual and real integrated equipment test method.This paper proposes a control framework and a core algorithm for this problem.By using the data assimilation algorithm based on random finite sets,this paper proposes an online sensor control technology oriented to the integration of virtual and real.At the same time,the online sensor control framework based on dynamic data driven technology is also presented.The proposed control framework and algorithm provide an effective method for the simulation system oritiened to decision support to solve the problem of online sensor control.