空间碎片减缓设计专家系统推理引擎的设计与实现

Design and Practice of the Inference Engine for the Space Debris Mitigation Design Expert System

为了控制空间碎片的数量,合理利用和保护有限的太空资源,设计基于规则推理的空间碎片减缓设计专家系统。系统采用JESS作为规则引擎,可以动态地管理和修改规则,从而提供软件系统的柔性和适应性,推理引擎不仅支持正向推理,同时也支持反向推理,采用基于规则反向推理作为正向推理的辅助手段,提高专家系统的推理效率,并实现了专家系统的自学习和自完善的功能。专家系统能指导设计人员进行航天器和运载火箭空间碎片减缓设计工作,显著提高空间碎片减缓设计水平。

A rule-based space debris mitigation design expert system should be designed to control the number uf space debris, and make a reasonable use of and protect the limited space resources. The system adopts JESS as a rule engine, which can dynamically manage and amend the rules so as to provide the flexibility and adaptability for software system. Inference engine not only supports the forward-chaining inference, but also supports the backward -chaining inferenee, while using backward-chaining inference rules as an auxiliary method of reasoning, and improving the reasoning efficiency of the expert system, thus to achieve the functions of self-learning and self-improvement for the expert system. The design staff can be guided by expert systems to design the space debris mitigation for spacecrafts and launchers, and evidently improve the design standards of space debris mitigation.