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人工智能赋能固体发动机设计技术的五个方向展望

褚佑彪 王琪虎 蒙波 任重光

固体火箭技术2026,Vol.49Issue(2):173-182,10.
固体火箭技术2026,Vol.49Issue(2):173-182,10.DOI:10.7673/j.issn.1006-2793.2026.02.002

人工智能赋能固体发动机设计技术的五个方向展望

Artificial intelligence empowerment in solid rocket motor design:Five development prospects

褚佑彪 1王琪虎 1蒙波 2任重光3

作者信息

  • 1. 西安航天动力技术研究所,西安 710025
  • 2. 航天动力技术研究院,西安 710025||西北工业大学 航天学院,西安 710072
  • 3. 陕西理工大学,汉中 723000
  • 折叠

摘要

Abstract

Against the backdrop of the digital-intelligent era,the traditional design mode of solid rocket motors(SRM)based on empirical design and trial iterations is evolving toward a digital-intelligent paradigm driven by data and model.First,the current research status and future development trends of digital-intelligent technologies applied in the aerospace field were analyzed.Building on these analysis results,five key future development directions for artificial intelligence for solid rocket motor(AISRM)technology were put forward,such as intelligent processes,symbolic regression,nonlinear mapping,intelligent optimization,and generative intelligence.Four major technical challenges to be addressed in the future development of these five directions were predicted,including small-sample data characteristics,strong geometric generalization,multi-parameter optimization,and accuracy bottlenecks in intelligent models.Finally,three expected outcomes of AISRM development were outlined.In the future,AISRM will lead and symbolize the advancement of SRM technology in the digital-intelligent era,significantly promoting the transformation of SRM development models,enhancing SRM design standards and efficiency,and boosting SRM technological innovation capabilities.

关键词

固体火箭发动机/人工智能/流程智能/符号回归/非线性映射/智能优化/生成式智能

Key words

solid rocket motor/artificial intelligence/process intelligence/symbolic regression/nonlinear mapping/intelligent optimization/generative intelligence

分类

航空航天

引用本文复制引用

褚佑彪,王琪虎,蒙波,任重光..人工智能赋能固体发动机设计技术的五个方向展望[J].固体火箭技术,2026,49(2):173-182,10.

基金项目

国家级项目. ()

固体火箭技术

1006-2793

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