Proceedings of the

The 33rd European Safety and Reliability Conference (ESREL 2023)
3 – 8 September 2023, Southampton, UK

A GSPN-based Dynamic Reliability Modeling Method for UAV Data Link System

Wensheng Penga, Zhaoyang Zengb and Jiao Lic

Quality Engineering Center, China Aero-Polytechnology Establishment, China.


The reliability of data link system of unmanned aerial vehicle (UAV, or unmanned system) is the key to determine the success of unmanned system mission execution, and is also a difficult point of reliability modeling and analysis of unmanned system. Aiming at the characteristics of multi-service integration, complex structure and dynamic reconfiguration of UAV data link system, this paper proposes a method to build a dynamic reliability simulation model of data link service based on generalized stochastic Petri net (GSPN). By analyzing the characteristics of the UAV data link system, this method uses the resources, places, transitions and other elements in the GSPN model to describe various resources, states, behaviors and collaborative relationships in the data link system, and uses specific random variables to represent the component states and their durations to simulate the dynamic operation process of the data link system. Three typical services modes of UAV data link system as uplink remote control, downlink telemetry and downlink mission load transmission are modeled and simulated by using the Pipe software tool, which could accurately describe the synchronization, concurrency, distribution, conflict, resource sharing or competition, and reliability of the data link with dynamic reconfiguration behavior under the multi-service background could be evaluated. Finally, this paper proves that the GSPN based method could obtain reliable reliability evaluation results for the data link through a case analysis.

Keywords: Reliability modeling, Data link system, UAV, Dynamic performance, Petri net, Service reliability.

Download PDF