| Information air strikes and air defense confrontation have multi-level,multi-dimensional and diversified characteristics.In order to overcome the shortcomings of the traditional single air defense platform defense system in combat capability,multi-platform collaborative air defense combat mode has come into being,which can adapt to the modern war,and has developed into a major air defense combat mode.Task distribution is the core content of multi-platform collaborative air defense system.It considers combat capabilities of different air defense platforms and invokes the operational resources of each platform for coordinated air defense via certain optimal allocation principles so as to maximize the interception target and give full play to the overall performance of the system.This paper studies the mission assignment problem in multi-platform collaborative air defense,aiming to establish a reasonable and effective multi-platform collaborative air defense combat model and gives a task assignment method to meet the real-time requirements of command and decision.The main contents of this paper are as follows:Firstly,establish the multi-platform cooperative air defense mission assignment model and design the air defense scenario and the optimization indicator function,at the same time,the anti-aircraft weapons kill zone and launch zone model is established.In view of the characteristics of air defense operations,air defense combat constraint models are established considering the constraints of air defense,such as time window constraints,cooperative guidance constraints and interception feasibility constraints,so as to ensure the rationality of the solution and conform to the real battle scene.Secondly,for the established mathematical model,considering the parameters influenced by the uncertainty in the model,analyze the influence of the uncertain information conditions on these parameters,and design the corresponding methods to reduce the interference caused by the uncertainty.For the target threat degree parameter,the uncertain information is transformed into the definite information by using the ranking method approaching the ideal solution.For the damage probability of the weapon to the target,an uncertainty model of the weapon and the target is established to calculate the damage probability.For other parameters which are hard to defined,a set-based robust optimization approach is used to compare the performance of the parameters in the worst case.Finally,design a decision-making control structure of "limited centralized command-distributed autonomous coordination",and propose a multi-platform collaborative air defense mission assignment solution.Under this structure,the constructive heuristic algorithm is adopted inside air defense platform to obtain the distribution result quickly.Then,the conflicts between platforms are solved by the rules based on the advantages and disadvantages of the allocation results and the uniform allocation results are obtained.This decision-making structure can effectively reduce the amount of information processing on individual platforms,so as to avoid single point of failure.In the process of distribution,the rolling time domain control method is used for rolling optimization,which can timely deal with the dynamic events occurring in the distribution process to improve the real-time performance of decision-making.Simulations show that the mathematical model and the allocation algorithm used in this paper can enhance the ability of multi-platform collaborative air defense decision-making system to cope with complex and changeable battlefield environment,with real-time and effectiveness. |