北京航空航天大学学报 ›› 2009, Vol. 35 ›› Issue (1): 44-47.

• 论文 • 上一篇    下一篇

基于遗传算法的高速飞行器模糊飞控一体化

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:2008-01-25 出版日期:2009-01-31 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 logic control based on genetic algorithm to integrated flight control for hypersonic vehicles

Li Huifeng, Wang Jian,   

  1. School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
  • Received:2008-01-25 Online:2009-01-31 Published:2010-09-16

摘要: 以高超声速飞行器通用模型的俯仰通道为控制对象,针对其6自由度非线性模型设计了一体化飞控系统.飞控系统由1个模糊控制器和2个PD控制器组成.基于遗传算法实现了模糊控制规则和PD反馈参数的自动优化,无需先验知识和训练数据.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,特别是鲁棒性优于同样采用模糊控制的经典双回路飞控系统.

Abstract: An integrated flight control system was designed according to the six DOF nonlinear general model of pitching channel of hypersonic vehicle. The system has an integrated flight control loop, which is composed of one fuzzy controller and two PD controllers. Based on genetic algorithm, the optimization process of fuzzy control rules and PD feedback parameters was carried out automatically, which means experts- knowledge and training data were not necessary in advance, so the problem of obtaining fuzzy logic control rules was solved. Nonlinear dynamics, parameter uncertainties and constraints were concerned in the 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, especially obtaining superior robustness compared to conventional double loop flight control system, which is based on the same basic control strategies and optimization tool.

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