Study On The Real-Time Task Planning Of Multi-UCAN In Uncertain Environment

UCAV(Unmanned Combat Aerial Vehicle) can complete a variety of the complex combat tasks, and is playing more and more important role in morden war, so it attracts the attention of the national military. In the real battlefield environments, there are many uncertain factors such as the variability of the battlefield environment、the uncertainty of the acquired information、the randomness of the weapon’s damage effectiveness etc.Therefore, the problem of studying on the real-time task planning of multi-UCAV in uncertain environment is a new important topic. Moreover, task assignment is the guarantee and foundation of task planning system. Meanwhile, it has important theoretical value and realistic significance in improving the viability、penetration ability and combat effectiveness of UCAV. Around the above problems, the related theories about the problem of real-time task planning in uncertain environments are carried out in this paper, the main content can be summarized as follows:First, the key indexes which dccide the task assignment result are analyzed according to the combat situation in uncertain environment. For example, the target rewad, the damage cost, weapon and ammunition cost, the distance and fuel oil cost and so on. The uncertain facors and uncertain information in these indicators are fully considered. Secondly, according to the key indicators in task assignment and the uncertain information analyzed above, the mathematical optimization model with time-varying and the mathematical optimization model based on uncertain information are established which take the dynamia characteristics of the target into account. Lastly, the mathematical optimization models are solved using genetic algorithm, SMAA and ideal point method, the optimal task assignment result is obtained. The simulation results validate the applicability and effectiveness of the model and method.At last, the research fruits are summarized. Following that, the limitation of the research content and future research emphasis are pointed out.