Moving mass grey prediction PID control for a reentry vehicle

Xiaoting Wang, Jun Zhou, Peng Lin

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Moving mass control is of benefit to reentry vehicle in shape maintenance, energy consumption reduction and load capability increase, while bringing in considerable conflict between design cost and performance of the controller. In this paper, grey prediction PID control for a moving mass actuated reentry vehicle is researched. Section 1 gives mathematical models of a moving mass actuated reentry vehicle; eq. (3) is worth paying special attention to. Section 2 proposes our moving mass grey prediction PID control method, its core is that we develop a new PID control structure including compensation of instant trim location, as is shown in Fig.1, and replace instant trim location and attitude control error by their improved values according to their grey model prediction; eqs. (14)~(16) are worth paying special attention to. Section 3 gives a simulation example; in it, Figs. 2~7 show that the proposed moving mass grey prediction PID has notably better robustness and better dynamic characteristics than conventional PID control; also Figs.8 and 9 show connection between control performance and prediction steps.

Original languageEnglish
Pages (from-to)485-490
Number of pages6
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume30
Issue number4
StatePublished - Aug 2012

Keywords

  • Analysis
  • Control
  • Grey prediction model
  • Mathematical models
  • Moving mass control systems
  • Nonlinear control systems
  • Predictive control systems
  • Reentry
  • Robustness (control systems)
  • Schematic diagrams
  • Simulation

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