On the one hand, vertiports in economically developed areas will present the operation mode of multi-vertiport, and the contradiction between the development of urban air mobility and limited operating resources is very serious. On the other hand, unlike fixed-wing aircraft or helicopters, the electric vertical take-off and landing (eVTOL) aircraft have different operating processes and limited battery energy supply. Long flight times in the terminal area pose a risk of exhaustion and great safety challenges. Given the terminal area of the multi-vertiport system (MVS-TA), this paper investigates the adaptive control system (ACS), which includes the design of the operating environment and the integrated scheduling model. The design of the operating environment is the basis of adaptive management, which consists of the concept of multi-ring structure and the junction control rules based on backpressure policy. Considering the power constraint and dynamic priority, an integrated model including path planning model and distributed sequencing model is constructed to solve the cooperative scheduling problem of approach-departure flights. Results from numerical analyses reveal that: First, in the case of large flight flow, ACS can achieve the efficiency and safety of MVS-TA operation better than the traditional control system. Secondly, the flight density into the terminal area has a greater impact on ACS performance relative to flight volume. With a density of less than 120 flights/hour, the operating efficiency of MVS-TA under ACS varies within 10.3% with the number of flights or density.

一方面，经济发达地区的垂直机场将呈现多垂直机场的运营模式，城市空中交通发展与运营资源有限的矛盾十分突出。另一方面，与固定翼飞机或直升机不同，电动垂直起降（eVTOL）飞机具有不同的操作流程和有限的电池能量供应。航站楼区域的长时间飞行会带来精疲力竭的风险和巨大的安全挑战。给定多垂直机场系统（MVS-TA）的终端区域，本文研究了自适应控制系统（ACS），包括运行环境设计和综合调度模型。运行环境的设计是适应性管理的基础，它由多环结构的概念和基于背压策略的连接控制规则组成。考虑到功率约束和动态优先级，构建了包括路径规划模型和分布式排序模型的集成模型来解决进场-离场航班的协同调度问题。数值分析结果表明：首先，在大飞行流量的情况下，ACS可以比传统控制系统更好地实现MVS-TA运行的效率和安全性。其次，相对于航班量，进入航站楼区域的航班密度对 ACS 性能的影响更大。ACS下MVS-TA在密度小于120个航班/小时的情况下，运行效率随航班数量或密度变化在10.3%以内。