航空学报 > 2003, Vol. 24 Issue (3): 242-245

新一代歼击机超机动飞行的动态逆控制

朱荣刚, 姜长生, 邹庆元, 蔡世龙   

  1. 南京航空航天大学自动化学院 江苏南京 210016
  • 收稿日期:2002-05-29 修回日期:2002-10-05 出版日期:2003-06-25 发布日期:2003-06-25

Study on Dynamic Inversion Control and Simulation of Supermaneuverable Flight of the New Generation Fighter

ZHU Rong-gang, JIANG Chang-sheng, ZOU Qing-yuan, CAI Shi-long   

  1. Automation College; Nanjing University of Aeronautics and Astronautics; Nanjing 210016; China
  • Received:2002-05-29 Revised:2002-10-05 Online:2003-06-25 Published:2003-06-25

摘要: 根据反馈线性化理论, 讨论了神经网络自适应非线性动态逆控制设计。首先根据时标分离原则, 采用动态逆方法设计快回路和慢回路控制器; 其次提出基于模型逆的神经网络非线性直接自适应控制方案, 设计一种在线神经网络用于补偿模型逆误差。仿真表明, 该控制方案具有较好的自适应能力和鲁棒性。

关键词: 模型逆, 神经网络, 自适应

Abstract: A discussion is devoted to designing neur al network adapt ive nonlinear dynamic inversion controllers according to the feedback linearization theor y. Firstly, with two-time-scale, a design of a fast loop controller and aslow loop one is given using the dynamic inversion method. Secondly, a model inversion based neural network non-linear direct adaptive scheme is present ed, in which an online neural network is designed to compensate for the modelinversion er rors. It is demonstrated by the distr ibuted simulation of a local area network that this adaptive controldesign is of better adaptability and robustness.

Key words: model inversion, neural network, adaptive control

中图分类号: