北京航空航天大学学报 ›› 2008, Vol. 34 ›› Issue (11): 1250-1253.

• 论文 • 上一篇    下一篇

基于遗传算法的高速飞行器模糊控制律设计

李惠峰, 王 健   

  1. 北京航空航天大学 宇航学院, 北京 100191
  • 收稿日期:2007-11-08 出版日期:2008-11-30 发布日期:2010-09-16
  • 作者简介:李惠峰(1970-),女,陕西蒲城人,副教授,leehuifeng@buaa.edu.cn.

Fuzzy control law design of hypersonic vehicle based on genetic algorithm

Li Huifeng, Wang Jian   

  1. School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
  • Received:2007-11-08 Online:2008-11-30 Published:2010-09-16

摘要: 以吸气式高超声速飞行器X-43A的纵向通道为控制对象,针对其6自由度非线性模型设计了飞行控制系统.飞行控制系统包括2个回路,制导回路采用PD控制器,控制回路应用模糊控制器.制导回路负责跟踪轨迹,控制回路执行制导指令.基于遗传算法实现了PD反馈参数和模糊控制规则的自动优化,无需先验知识和训练数据.在控制飞行器轨迹、姿态和推力时,综合考虑非线性动态特性、不确定性和约束.仿真表明,该方法可以同时满足飞行控制系统鲁棒性和优化过程收敛性的要求.

Abstract: Considering the pitching channel of air breathing hypersonic vehicle X-43A as plant, flight control system was designed according to the 6 degree of freedom nonlinear model. The flight control system includes two loops, of which the structure is conventional mode. The guidance loop is a PD controller, while the control loop is composed of two fuzzy logic controllers. The guidance loop leads the vehicle to follow trajectory, when the control loop follows guidance command. Based on genetic algorithm, the optimization process of PD feedback parameters and fuzzy logic control rules was carried out automatically, which means expert knowledge and training data are not necessary in advance. This optimization process solved the problem of obtaining fuzzy logic control rules. Nonlinear dynamics, uncertainties and restrictions were contained in research on the control of trajectory, attitude and thrust. Simulations show that the method is able to satisfy both the robustness of flight control system and the convergence of optimization process on request.

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