Research on Evolution Method of Aircraft Swarms Space Configuration Based on Event-driven

In the process of implementing combat missions, depending on mission briefs, battlefield situation information and environment, aircraft swarms need to evolve its space configuration adaptively and provide the best spatial location for transducers and weapons to enhance operational effectiveness. In view of the above problem, the thesis proposes an evolution method of aircraft swarms space configuration. On the basis of Event Condition Action (ECA) rules and with the help of modified Statecharts, the method builds an aircraft swarms ECA model based on Statecharts. Finally, taking the space configuration evolution of three aircraft cooperating passive location for example, the feasibility of the model and the effectiveness of the method proposed in the thesis is validated.