Skip to main navigation Skip to search Skip to main content

Model predictive control with on-off input and its application to attitude control

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

Abstract

Robust model predictive control with On-Off input of system is researched in this paper. The constraint tightening approach is adopted to ensure robustness of algorithm. By variable horizon approach, i.e. take the predictive horizon as the decision variable, the property of finite-time arrival within an arbitrary target set is guaranteed. Convergence of the algorithm is proved, and the maximum predictive horizon for the states entry to an arbitrary target set is determined. Finally, the method is applied to the attitude control of exo-atmospheric aerocraft, the simulation results show the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationApplied Material Science and Related Technologies
PublisherTrans Tech Publications
Pages713-719
Number of pages7
ISBN (Print)9783038350361
DOIs
StatePublished - 2014
Event2014 3rd International Conference on Intelligent System and Applied Material, GSAM 2014 - Taiyuan, China
Duration: 18 Jan 201419 Jan 2014

Publication series

NameAdvanced Materials Research
Volume898
ISSN (Print)1022-6680

Conference

Conference2014 3rd International Conference on Intelligent System and Applied Material, GSAM 2014
Country/TerritoryChina
CityTaiyuan
Period18/01/1419/01/14

Keywords

  • Attitude control
  • Finite time entry
  • Invariant set
  • Model predictive control
  • On-off input

Fingerprint

Dive into the research topics of 'Model predictive control with on-off input and its application to attitude control'. Together they form a unique fingerprint.

Cite this