SwarmEvtol: 多智能体协同垂直起降机群与群体仿生智能系统

SwarmEvtol 研发去中心化分布式群体智能架构与拜占庭容错共识算法,支持数十架乃至上百架纯电动垂直起降机群协同执行广域地毯式搜索、分布式机载电子战反制以及自适应空气动力学生翼编队巡航,实现全系统零单点故障容错韧性。

SwarmEvtol Decentralized Swarm Intelligence & Mesh Coordination Architecture

Peer-to-peer UWB mesh network, consensus auction bidding, and dynamic collision avoidance

Central System: Swarm Intelligence Engine - Decentralized Consensus & Bidding Core

Aviation Architecture Nodes

  • Peer-to-Peer Inter-Drone Mesh Radio
  • Distributed Consensus Auction Engine
  • Dynamic Flocking & Collision Avoidance
  • Shared Multi-Agent Sensor Fusion
  • High-Level Operator Intent Console

Architectural Layers & Protocol Stacks

  • Ad-Hoc Inter-Aircraft Mesh Networking (UWB Ranging / 802.11p Sidelink / Mobile Ad-Hoc Networks (MANET)): Forming self-healing wireless networks between aircraft with sub-10ms packet exchange and zero central infrastructure.
  • Decentralized Task Allocation & Bidding (Consensus-Based Bundle Algorithm (CBBA)): Distributing search zones and target inspection tasks autonomously among swarm agents via market-based bidding.
  • Bio-Inspired Flocking & Spatial Safety (Reynolds Flocking Rules / Artificial Potential Fields): Maintaining tight aerodynamic formation flight while mathematically guaranteeing zero inter-aircraft collisions.
  • Supervisory Human-Swarm Teaming (High-Level Task Objective Interface): Empowering a single human operator to command an entire 50-drone swarm with mission-level intent rather than piloting individual sticks.

Flight Telemetry Metrics: 50+ Drones (Simultaneous Coordinated Swarm Size) | < 10 ms (Peer-to-Peer Inter-Drone Mesh Latency) | Zero Single Point (Decentralized Failure Resilience) | 100% (Inter-Aircraft Collision Prevention)

协同多智能体eVTOL蜂群、分布式协作导航与自适应编队

深入剖析 FAA 适航认证、DO-178C DAL A 级机载航电软件、DO-254 硬件生命周期及低空 4D 航迹解冲突中的Cooperative Multi-Agent eVTOL Swarms, Distributed Collaborative Navigation & Adaptive Formations关键工程实践。

Core Engineering Areas

Technical Publications

Related Cluster Architecture Specifications