Research On Model And Evaluation Method Capacity For Sortie Process Of Carrier Aircraft

The main factor measuring the combat capability of aircraft carrier with catapult is the sortie generation capability of carrier aircraft.This study can be seen from the past wars that the sortie generation capability directly affects the combat capability of aircraft carrier.Therefore,it is of great practical significance to study the sortie generation capability in order to improve Navy combat capability.Due to the large number of processes and complicated structures in the launch and recovery process of carrier aircraft,there is still a lack of overall modeling and comprehensive evaluation of the process.In this paper,the overall process modeling and evaluation of carrier aircraft are carried out,which aims to provide theoretical guidance for further improving the sortie generation capability of carrier aircraft.Modelling the whole launch and recovery process is the key to study the sortie generation capability.Currently,the existing modeling methods,such as queuing theory,Petri network theory and Markov chain theory,are suitable for modeling a single link of the the whole process.However,they are difficult to meet the requirement of the overall analysis.To solve the above problems,a system dynamics(SD)modeling method is proposed in this paper.Seven links summed up from the "Nimiz" Surge demonstration are: pilot operation link,preparing operation link,launch operation link,recovery operation link,chech operation link,maintenance operation link and repair operation link.A SD model is established according to the causality of the whole launch and recovery process.In view of the parallelism and the closed-loop of the whole process,SD method is applied and the overall modeling of the launch and recovery process is realized.The effects of different maintenance methods are compared in catapult availability.The method proposed in this paper is simple and direct.And the problem of the existing methods difficult to meet the requirement of the overall analysis is solved.The dynamic and static processes are analyzed in simulation.The factors that affect the sortie generation capacity include not only the factors related to the launch and recovery process,but also the supply and dispatch of the supporting resources.The timely supply and dispatch of supporting resources are necessary to ensure the smooth operations of maintenance and repair.Considering the uncertainty and delay of the supply process,a T-S fuzzy system is designed for the supply process.The robust control strategy is used to control the uncertain nonlinear system.A discrete piecewise function is constructed with the maximum cross rule group.Parallel distributed and compensation principle is combined.In this way,the number of solution is reduced and the speed of control id improved.The time reaching the asymptotically stable state is reduced.Finally,the improved fuzzy robust optimization algorithm is adopted to ensure the reliability and stability of the process of resource supply in simulation.In order to realize the comprehensive evaluation of the sortie generation capacity,this paper establishes the index system of sortie generation capability.Because of the complex nonlinear relationship among the various indexes,and the characteristics of hierarchy,contradiction and correlation,the evaluation is very complicated.When planning a combat plan,it is necessary to choose the most appropriate plan from a number of alternatives.Thus a quick and accurate evaluation of the plan is needed.This paper designed three evaluation methods: fast RBF neural network method,catastrophe progression method and nonlinear fuzzy matter-element method.These evaluation methods show that they are suitable for evaluate the sortie generation capacity with complexity,hierarchy,contradiction and correlation through the simulation.The rapid and accurate evaluation is achieved.The comprehensive of three evaluation methods using variation method can make up the shortcoming of single evaluation result.Finally,this paper focuses on the increase of sorties.By analyzing the bottleneck factors of sortie,it can provide reference for increasing the sortie.At present,most literature analyzed single factor affecting sortie,while the actual factors are relevant.Combined with multi factors conjoint analysis method proposed in this paper,the factors with strong correlation are analyzed.The data are fitted by ignoring dead zone and considering the turning point method,which makes the found bottleneck factors are more credible.Finnally,the advices to increase the sortie are provided.In this paper,the launch and recovery process modeling method is improved and the supply of the supporting resources is optimized.The comprehensive evaluation is realized and the bottleneck factors are analyzed.The SD method is introduced in detail,and the improved method is verified and analyzed by comparing with the data of "Nimiz".The results show that the SD modeling is more suitable for launch and recovery process.The improved fuzzy robust optimization algorithm can achieve rapid and stable operation of supply.The comprehensive evaluation method is proposed to realize the evaluation sortie generation capacity quickly and accurately.The multi factors conjoint analysis method can accurately obtain the bottleneck factors of sortie.