北京航空航天大学学报 ›› 2008, Vol. 34 ›› Issue (12): 1407-1410.

• 论文 • 上一篇    下一篇

基于模糊逻辑的再入RCS控制方法

黎科峰, 宋剑爽, 任 章, 张庆振   

  1. 北京航空航天大学 自动化科学与电气工程学院, 北京 100191
  • 收稿日期:2008-01-04 出版日期:2008-12-31 发布日期:2010-09-16
  • 作者简介:黎科峰(1980-),男,湖南郴州人,博士生,buaadallas@gmail.com.
  • 基金资助:

    航空科学基金资助项目(2005ZD51004)

Fuzzy logic reaction control method for re-entry vehicle

Li Kefeng, Song Jianshuang, Ren Zhang, Zhang Qingzhen   

  1. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
  • Received:2008-01-04 Online:2008-12-31 Published:2010-09-16

摘要: 针对 RLV (Reusable Launch Vehicle)的再入控制提出了一种基于模糊逻辑的RCS(Reaction Control System).详细分析了RCS控制特性,建立了基于效率系数以及继电特性的RCS模型,提出了一种基于Mamdani模型的模糊逻辑三通道RCS控制器,该控制器利用专家控制经验,根据姿态角及角速率的偏差,产生不同的RCS控制指令输出给三通道对飞行器进行姿态控制.通过六自由度非线性仿真,验证了该控制系统与PID(Proportional-Integral-Differential)控制器相比具有更好的跟踪性能,且RCS的控制输出效率也更高.

Abstract: To solve the re-entry control problem of reusable launch vehicle (RLV), a reaction control system (RCS) based on fuzzy logic was presented. The characteristic of RCS was analyzed deeply, and the RCS model based on effect coefficient and relay feature was built. Then the three-channel RCS controller based on fuzzy logic by using the expertise knowledge was designed. Both of the attitude angles and attitude angles- rate errors were used to be the controller-s inputs. These inputs were processed by fuzzy logic controller, and then the RCS commands to each channel were generated. This controller was testified in the 6 degree of freedom simulation system and compared its effect with proportional-integral-differential (PID) controller. It was proved by the simulation results that the controller has better tracking performance and the RCS outputs are more efficient.

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