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Varying-Gain Proportional Navigation Guidance Law for Precise Impact Time and Angle Control

  • Chenxing Wang
  • , Yuchen Zhang
  • , Pengyu Wang
  • , Yuxin Yang
  • , Yueyong Lv*
  • , Yanning Guo
  • *Corresponding author for this work
  • School of Astronautics, Harbin Institute of Technology
  • Shanghai Electro-Mechanical Engineering Institute

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper introduces a novel varying-gain proportional navigation guidance (PNG) law for driving constantspeed missiles to achieve desired impact angles on stationary targets. The unique advantage of the proposed varying-gain PNG law lies in its ability to provide accurate, analytical time-to-go estimations across a broad feasible region, which facilitate the precise control of impact time. To show the significance of our new method, the proposed varying-gain PNG law is augmented with a biased feedback command to obtain an impact time and angle control guidance (ITACG) law. Numerical simulations, in comparison with existing methods, demonstrate that both the proposed varying-gain PNG and ITACG laws can achieve desired impact constraints while requiring less control effort, even under conditions of large initial heading errors and stringent impact angle constraints.

Original languageEnglish
Title of host publicationProceedings of the 37th Chinese Control and Decision Conference, CCDC 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4663-4669
Number of pages7
ISBN (Electronic)9798331510565
DOIs
StatePublished - 2025
Externally publishedYes
Event37th Chinese Control and Decision Conference, CCDC 2025 - Xiamen, China
Duration: 16 May 202519 May 2025

Publication series

NameProceedings of the 37th Chinese Control and Decision Conference, CCDC 2025

Conference

Conference37th Chinese Control and Decision Conference, CCDC 2025
Country/TerritoryChina
CityXiamen
Period16/05/2519/05/25

Keywords

  • impact angle control
  • impact time control
  • proportional navigation guidance
  • time-to-go estimation

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