Moving mass grey prediction PID control for a reentry vehicle

Xiaoting Wang, Jun Zhou, Peng Lin

科研成果: 期刊稿件文章同行评审

2 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)485-490
页数6
期刊Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
30
4
出版状态已出版 - 8月 2012

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