Skip to main navigation Skip to search Skip to main content

Nonlinear control design for a reentry warhead with single moving mass

  • Kuo Hao*
  • , Kun Ni
  • , Lin Cheng
  • , Guoguang Xu
  • , Guoqing Wang
  • *Corresponding author for this work
  • Beihang University

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

Abstract

For a reentry warhead with single moving mass, the goal of control in this paper is tracking and stabilization in roll and yaw channel, respectively. Firstly, a detailed model of warhead is established using Kane method, and the affine nonlinear form for the control design is derived. Then PID is combined with the nonlinear dynamic inverse to form the attitude controller of the warhead. And the disturbance observer based on extended state observer (ESO) is designed, which is used to observe and compensate for the inaccuracy of the under-actuated controller. The Moving Mass Nonlinear Controller (MMNC) is composed of the controller and the disturbance observer. At last, simulation and comparison are carried out, the results show that the MMNC has better system response, better adaptability and stronger robustness than the traditional PID controller.

Original languageEnglish
Title of host publicationCGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages427-433
Number of pages7
ISBN (Electronic)9781467383189
DOIs
StatePublished - 20 Jan 2017
Event7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016 - Nanjing, Jiangsu, China
Duration: 12 Aug 201614 Aug 2016

Publication series

NameCGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference

Conference

Conference7th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2016
Country/TerritoryChina
CityNanjing, Jiangsu
Period12/08/1614/08/16

Fingerprint

Dive into the research topics of 'Nonlinear control design for a reentry warhead with single moving mass'. Together they form a unique fingerprint.

Cite this