Design of new predictive guidance algorithm via fuzzy techniques

Junbo Wang*, Zhang Ren, Zixuan Liang, Zihao Xiong

*Corresponding author for this work

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

Abstract

New predictive guidance (NPG) algorithm is proposed and the fuzzy techniques are adopted to improve the real-time capability of the predictive guidance. The simplified kinematical and dynamical equations of model for the entry vehicle are established. The nominal bank angel profile is established beforehand to implement numerical prediction. The predictive errors are used as input of fuzzy logic controller which is designed for generation of correct commands. The fuzzy logic controller avoids massive iterations of conventional predictive guidance (CPG) algorithm and improves the real-time capability. Numerical simulations for the proposed algorithm under the condition of perturbations are presented to demonstrate the capability and effectiveness.

Original languageEnglish
Title of host publication2011 International Conference on Electrical and Control Engineering, ICECE 2011 - Proceedings
Pages633-637
Number of pages5
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2nd Annual Conference on Electrical and Control Engineering, ICECE 2011 - Yichang, China
Duration: 16 Sept 201118 Sept 2011

Publication series

Name2011 International Conference on Electrical and Control Engineering, ICECE 2011 - Proceedings

Conference

Conference2nd Annual Conference on Electrical and Control Engineering, ICECE 2011
Country/TerritoryChina
CityYichang
Period16/09/1118/09/11

Keywords

  • Entry vehicles
  • entry guidance
  • fuzzy logic controller
  • predictive guidance

Fingerprint

Dive into the research topics of 'Design of new predictive guidance algorithm via fuzzy techniques'. Together they form a unique fingerprint.

Cite this