TY - JOUR
T1 - Moving mass grey prediction PID control for a reentry vehicle
AU - Wang, Xiaoting
AU - Zhou, Jun
AU - Lin, Peng
PY - 2012/8
Y1 - 2012/8
N2 - 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.
AB - 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.
KW - Analysis
KW - Control
KW - Grey prediction model
KW - Mathematical models
KW - Moving mass control systems
KW - Nonlinear control systems
KW - Predictive control systems
KW - Reentry
KW - Robustness (control systems)
KW - Schematic diagrams
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=84865977443&partnerID=8YFLogxK
M3 - 文章
AN - SCOPUS:84865977443
SN - 1000-2758
VL - 30
SP - 485
EP - 490
JO - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
JF - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
IS - 4
ER -