Study on chaos during evolution process of control-aircraft state interdependence network

Abstract

The pilots and controllers are the key roles in the air traffic control system, and the evolution rules of the control system can be obtained by analyzing the relationship between them. The control-aircraft state interdependence network is constructed according to the flight conflict among aircraft, handover relationship between control sectors, and command and monitoring relationship of aircraft. By counting the characteristics of nodes in the evolution process of the interdependence network, the changes of controller workload and aircraft flight conflict during the evolution process are analyzed. The maximum Lyapunov exponent and phase diagram analysis method are used to identify the chaos of the system. The results show that the characteristics of control sector and aircraft node can reflect the changing trend of the control system, and the evolution rules of the control system are chaotic and predictable.

Keywords

• interdependence network
• network evolution
• chaos analysis
• lyapunov exponent
• singular spectrum analysis