舰载机高峰作业模式下舰面人机协同群组运动管控仿真

舰载机高峰作业模式下舰面群组运动管控是指在开放环境中舰载机昼夜不间断高频执行“出动-回收”循环作业任务时，对舰面地勤人员、保障车辆、舰载机等组成的异质、大规模、紧耦合群组运动的管控。该管控水平直接决定着舰载机的出动回收能力，是现代航母核心竞争力之一。针对现有管控技术难以实现突发场景中舰面大规模群组的鲁棒管控问题，本项目围绕“开放环境下人机协同增强智能的大规模紧耦合群组运动管控仿真”这一核心科学问题，重点研究：(1)大规模紧耦合群组运动实时控制优化，在保障安全前提下最大程度提升舰载机出动回收能力；(2)开放环境下面向群组的人类管控意图自适应理解，从而降低环境难感知、人脑认知过载等问题，实现人类智能增强；(3)构建人机协同群组运动管控仿真框架，实现人机混合增强智能群组运动管控。基于以上内容，形成航母舰面人机协同群组运动管控仿真平台，为提升舰载机出动回收能力及舰面应急处置能力提供经济有效手段。

The crowd control on the deck in the peak response mode of aircrafts describes how to control persons, vehicles and aircrafts on the deck that are large-scale, heterogeneous and coupled. It is one of the key factor to determine the support level of carrier aircraft, one of the core competitiveness of modern aircraft carrier. Focusing on the core problem of larger-scale, heterogeneous and coupled crowd control through the integrated human-machine intelligence, we will focus on: (1) real-time and optimal control of crowd to support a short rate of launch and recovery cycle; (2) self-adaptive predictions of humans’ control intent to reduce mistakes from human; (3) crowd simulations through human-machine cooperative control to finish a human in the loop simulation. Based on the above work, we construct the final crowd simulation system through human-machine cooperative control on the deck.