基于数字孪生和多智能体的航天器智能试验

To facilitate the transition of spacecraft testing mode from physical-experiments-based testing to physical-virtual-experiments-based testing, and to address the testing problems of long process cycle, high cost, great impacts on longevity and the difficulty of sharing of huge amount of data caused by the inconsistency between ground and in orbit, a Digital Twin (DT) and Multi-Agent Systems (MAS) based intelligent test architecture design method was proposed. An intelligent paradigm including physical space, data space and mathematical space for analyzing testing tasks was put forward, and an intelligent function modeling framework was built. The structures of three types of agents - test resource agent, test process agent and test service agent were designed, and the test flow optimization method for DT and MAS based spacecraft closed-loop life-cycle development was proposed. An intelligent test control and management software was developed to verify the feasibility and effectiveness of the intelligent test method by a spacecraft system-level test. By development and application of the intelligent test control and management platform, the time spent on product test design and implementation was reduced by 20%, and the precision of product test and tooling design was increased by 15%.