Robust Neural Direct Hypersonic Flight Control Under Actuator Saturation

Xia Wang, Bin Xu, Pengchao Zhang, Yu Zhang

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

Abstract

This work addresses the robust neural direct control of hypersonics flight vehicle (HFV) under dynamics uncertainty and actuator saturation. The controller is constructed with robust control and neural control. To deal with the actuator saturation, a Gaussian error function is employed to express the effect. The dynamic surface control (DSC) is studied to remove the explosion of the complexity by using a nonlinear adaptive filter. The simulation tested on the hypersonic vehicle control-oriented model (COM) shows the effectiveness of the control design.

Original languageEnglish
Title of host publicationCognitive Systems and Signal Processing - 4th International Conference, ICCSIP 2018, Revised Selected Papers
EditorsDewen Hu, Fuchun Sun, Huaping Liu
PublisherSpringer Verlag
Pages406-414
Number of pages9
ISBN (Print)9789811379857
DOIs
StatePublished - 2019
Event4th International Conference on Cognitive Systems and Information Processing, ICCSIP 2018 - Beijing, China
Duration: 29 Nov 20181 Dec 2018

Publication series

NameCommunications in Computer and Information Science
Volume1006
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference4th International Conference on Cognitive Systems and Information Processing, ICCSIP 2018
Country/TerritoryChina
CityBeijing
Period29/11/181/12/18

Keywords

  • Actuator saturation
  • Hypersonic flight vehicle
  • Neural network (NN)

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