基于Petri网的航天器一体化控制系统行为演化特征研究

This paper investigates the behavioral evolution of “perception-decision-execution” integrated control system for spacecraft under spatiotemporal constraints. The goal is to ensure that the system not only accomplishes scheduled assigned tasks, but also autonomously perceives and avoids orbital threats in uncertain and dynamically changing space environments. A behavior modeling approach integrating agent-based modeling and Petri nets is proposed based on a decentralized-integrated modeling philosophy. The integrated control system is composed of multiple functional modules, each module denoted by an agent, to represent the functional structure of the system at a macro-level. At the micro-level, Petri nets are utilized to construct behavior models for each functional agent. Furthermore, Petri nets are used to model the behavioral interactions and functional relationships between agents under the proposed closed-loop control framework. This forms a comprehensive behavioral evolution model for the integrated control system. The dynamic characteristics of system behaviors and their relationships among system parameters, logical architecture, and coordination mechanisms are analyzed. Based on CPNTools, a simulation model was constructed to emulate the system's response under a debris threat scenario. The simulation results demonstrate that the model exhibits multi-path behavioral evolution, with good liveness, fairness, and structural connectivity. It is capable of autonomously selecting appropriate response paths according to different perception outcomes, thereby achieving dynamic obstacle avoidance and task adjustment following threat identification, which highlights the system's adaptability and stability.