Computational guidance using sparse gauss-Hermite quadrature differential dynamic programming

Shaoming He, Hyo Sang Shin, Antonios Tsourdos

Research output: Contribution to journalConference articlepeer-review

11 Citations (Scopus)

Abstract

This paper proposes a new computational guidance algorithm using differential dynamic programming and sparse Gauss-Hermite quadrature rule. By the application of sparse Gauss-Hermite quadrature rule, numerical differentiation in the calculation of Hessian matrices and gradients in differential dynamic programming is avoided. Based on the new differential dynamic programming approach developed, a three-dimensional computational algorithm is proposed to control the impact angle and impact time for an air-to-surface interceptor. Extensive numerical simulations are performed to show the effectiveness of the proposed approach.

Original languageEnglish
Pages (from-to)13-18
Number of pages6
JournalIFAC-PapersOnLine
Volume52
Issue number12
DOIs
Publication statusPublished - Oct 2019
Externally publishedYes
Event21st IFAC Symposium on Automatic Control in Aerospace, ACA 2019 - Cranfield, United Kingdom
Duration: 27 Aug 201930 Aug 2019

Keywords

  • Computational guidance
  • Differential dynamic programming
  • Impact angle
  • Impact time
  • Sparse Gauss-Hermite quadrature

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