Critical Technologies Research On Intelligent Fire Control And Command Control Under Information Environment

The intelligent fire control and command control system under information environment,which is based on the development of airborne fire control and command control system,is adapted to the concept of information and networking warfare,and meets the demand of modern warfare.It is a novel distributed fire control system that develops simultaneously with the next generation of combat aircraft.Combining the current advanced architectural concepts and technologies,this dissertation focuses on fundamental researches of the intelligent fire control and command control system under information environment.First,the system model of integrated network intelligent fire control and command control system is built.Then,the system architecture and critical technologies to support the system model are studied.The innovations of the dissertation are as follows:1)Based on the analysis of the development trend of airborne fire control and command control system,the system architectures of traditional fire control system and network-centric warfare fire control system are studied to conclude the reason they are not suitable for information network age.The new requirements of combat aircraft for fire control system in information networking situation are given.consequently,a distributed intelligent fire control and command control system with completely information-sharing under information environment is proposed in this dissertation,its system is established,its composition and characteristics are studied,and relevant key technologies are introduced.2)Aiming at the problem of expressing and dealing with uncertainty of information in dealing with multi-sensor data fusion,this dissertation establishes the functional model,structure model and mathematical model of multi-source intelligence information fusion system,and presents an intelligent information fusion algorithm based on improved DS evidence theory.First,focusing on the problem that DS evidence theory cannot effectively deal with the conflict of evidence,several improved methods are discussed to obtain the drawbacks of existing evidence conflict measure methods.Then,a novel evidence conflict measure method,evidence similarity measure,is proposed,and is utilized in the weighted correction of evidence provided by each sensor.Finally,evidence is fused using the Demspter combination rule.Numerical experiments prove that this improved algorithm expands the DS evidence theory application in information fusion on the decision level,and is able to effectively deal with the uncertainty of information,and decreases the impact of the conflict on the final fusion results.Meanwhile,the reliability and rationality is enhanced,and the proposed method has a higher convergence rate.3)The intelligent fire control and command control system changes the traditional “chimney” type system architecture,which is fixed link.The fire channel of each sensor,weapon and target can be flexibly configured.Thus,a distributed centralized fire coalition allocation model for sensor,weapon and target scheduling decision is established for the intelligent fire control and command control system,and an improved genetic particle swarm allocation algorithm is presented.First,an ability function that characterizes the comprehensive detection performance of sensor unit is established to conduct a scientific and rational allocation of sensor resources.Then,facing the problem of allocating sensor units,weapons and targets under multiple constraints,the distributed centralized fire coalition allocation model is established to avoid the defect of easily falling into local optimum of traditional algorithm,and an improved genetic particle swarm allocation algorithm with crossover and mutation operators is presented.Simulation experiments show that compared with traditional algorithm,the proposed algorithm has a higher convergence rate and greater global optimization ability.4)Focusing on cooperative control problem of the integrated networking weapon under information environment,studies on transfer strategies,process and algorithm of guidance right during cooperative guidance are conducted.First,the premise of cooperative guidance and guidance patterns are analyzed.Then a guidance superiority model is established based on the situational advantage,the detection ability and the threat degree of allied aircraft,and a guidance right allocation algorithm for cooperative guidance is proposed on the basis of established model.Finally,the principle,method and process of the guidance right transferring in midcourse guidance is studied in detail,and the corresponding transfer algorithm of target information and guidance law is put forward.Simulation experiments show that the proposed algorithm is effective and feasible,and can calculate the guidance superiority and allocate guidance right in real time,thus effectively conduct cooperative guidance for multi-aircraft.The proposed method also can smooth the abnormal mutation in missile overload caused by the transfer of guidance right in midcourse guidance to ensure the stability of ballistic during the transfer process,which provides strong support for the research and operational application of cooperative guidance warfare.