论文:2012,Vol:30,Issue(4):485-490
引用本文:
王霄婷, 周军, 林鹏. 变质心再入飞行器的灰色预测PID控制[J]. 西北工业大学
Wang Xiaoting, Zhou Jun, Lin Peng. Moving Mass Grey Prediction PID Control for a Reentry Vehicle[J]. Northwestern polytechnical university

变质心再入飞行器的灰色预测PID控制
王霄婷, 周军, 林鹏
西北工业大学 精确制导与控制研究所,陕西 西安 710072
摘要:
再入飞行器采用变质心控制不但可以保持较好的气动外形,还可以增大机动能力,但变质心控制较强的非线性和控制耦合特性使控制器设计成本和使用性能之间的协调非常困难。文章提出了一种基于灰色GM(1,1)预测模型的变质心PID离散控制器,首先依据变质心控制机理提出增加配平位置补偿的PID控制结构,然后采用GM(1,1)模型对配平位置和姿态控制偏差进行在线快速建模预测,最后将预测值应用于改进的PID控制算法以获得控制指令。仿真结果证明该变质心灰色预测PID控制相对常规PID控制具有更好的动态特性和非线性系统自适应能力,且仍具有较低的设计成本和较强的工程实用性。
关键词:    变质心控制    灰色预测    PID控制    再入飞行器   
Moving Mass Grey Prediction PID Control for a Reentry Vehicle
Wang Xiaoting, Zhou Jun, Lin Peng
Institute of Precision Guidance and Control,Northwestern Polytechnical University,Xi'an 710072,China
Abstract:
Moving mass control is of benefit to reentry vehicle in shape maintenance,energy consumption reductionand load capability increase,while bringing in considerable conflict between design cost and performance of thecontroller. In this paper, grey prediction PID control for a moving mass actuated reentry vehicle is researched. Sec-tion 1 gives mathematical models of a moving mass actuated reentry vehicle; eq. (3) is worth paying special atten-tion to. Section 2 proposes our moving mass grey prediction PID control method,its core is that we develop a newPID control structure including compensation of instant trim location,as is shown in Fig. 1,and replace instant trimlocation 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 theproposed moving mass grey prediction PID has notably better robustness and better dynamic characteristics thanconventional PID control;also Figs. 8 and 9 show connection between control performance and prediction steps.
Key words:    control    mathematical models    nonlinear control systems    predictive control systems    reentry    robust-ness (control systems)    schematic diagrams;analysis    grey prediction model    moving mass controlsystems    simulation   
收稿日期: 2011-10-12     修回日期:
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作者简介: 王霄婷(1983-),女,西北工业大学博士研究生,主要从事先进控制理论研究。
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