期刊文献+

基于互补滤波的直升机增量非线性动态逆控制

Incremental nonlinear dynamic inverse control of helicopter based on complementary filtering
原文传递
导出
摘要 针对直升机非线性强、控制通道耦合严重、主旋翼与尾旋翼之间气流干扰复杂,造成建模不准确而难以实现高精度姿态控制的问题,采用基于互补滤波的增量非线性动态逆方法设计直升机飞行姿态控制律。首先,针对角加速度估计过程中存在由差分引起的相位滞后和噪声放大问题,采用互补滤波方法避免了微分运算,消除了微分运算的噪声放大效应。然后,在姿态控制回路加入限制结构确保作动器饱和时的跟踪性能。仿真结果表明,所提方法应对模型不确定和惯性不匹配具有较强的鲁棒性和解耦能力,即使作动器出现饱和也能实现姿态跟踪。 In order to solve the problems of strong nonlinearity,serious coupling of control channels and complex airflow interference between main rotor and tail rotor,which lead to inaccurate model-ing and difficult to achieve high-precision attitude control,an incremental nonlinear dynamic inverse method based on complementary filtering was used to design the helicopter attitude control law.Firstly,in order to solve the problem of phase lag and noise amplification caused by difference in the process of angular acceleration estimation,the complementary filtering method is used to avoid dif-ferential operation and eliminate the noise amplification effect of differential operation.Then,a lim-iting structure is added to the attitude control loop to ensure a good tracking performance.Simulation results show that the proposed method has a strong robustness and decoupling ability to deal with the model uncertainty and inertia mismatch,and can achieve the attitude tracking even when the actua-tor saturation occurs.
作者 杨建忠 吴春有 马立群 YANG Jianzhong;WU Chunyou;MA Liqun(College of Safety Science and Engineering,CAUC,Tianjin 300300,China)
出处 《飞行力学》 CSCD 北大核心 2023年第4期19-28,共10页 Flight Dynamics
基金 中央高校基本科研业务基金资助(3122020067) 中国民航大学科研启动基金资助(2020KYQD33)。
关键词 增量动态逆 互补滤波 角加速度估计 伪控制限制 incremental dynamic inverse complementary filtering angular acceleration estimation pseudo control hedging
  • 相关文献

参考文献6

二级参考文献30

  • 1朱家强,朱纪洪,郭锁凤,孙增圻.基于神经网络的鲁棒自适应逆飞行控制[J].控制理论与应用,2005,22(2):182-188. 被引量:21
  • 2Reiner J,Balas G J.Robust dynamic inversion for control of highly maneuverable aircraft[J].Journal of Guidance,Control,and Dynamics,1995,18(1):18-24. 被引量:1
  • 3Leong H I,Jager R,Keshmiri S.Development of a pilot training platform for UAVs using a 6DOF nonlinear model with flight test validation[C]//AIAA Modeling and Simulation Technologies Conference and Exhibit.Hawaii,USA:AIAA,2008:1-26. 被引量:1
  • 4Sanjay E T,Jayawant P K,Sricijay B P.Extended-stateobserver-based control of flexible-Joint system with experimental validation[J].IEEE Transactions on Industrial Electronics,2010,57(4):1411-1419. 被引量:1
  • 5Kim B,Calise A.Nonlinear flight control using neural networks[J].Journal of Guidance Control and Dynamics,1997,20(1):97-105. 被引量:1
  • 6Xu B,Yang C,Shi Z.Reinforcement learning output feedback NN control using deterministic learning technique[J].IEEE Transactions on Neural Networks and Learning Systems,2014,25(3):635-641. 被引量:1
  • 7Xu B,Shi Z K,Yang C,et al.Composite neural dynamic surface control of a class of uncertain nonlinear systems in strict-feedback form[J],IEEE Transaction on Cydernetics,2014,44(12):2626-2634. 被引量:1
  • 8Smith Z M,Craig I K.Robust Flight Controller Design Using H∞Loop-shaping and Dynamic Inversion Techniques,AIAA-98-4132[R].Pretoria,South Africa:University of Pretoria,1998. 被引量:1
  • 9Sieberling S,Chu Q P,Mulder J A,et al.Robust flight control using incremental nonlinear dynamic inversion and angular acceleration prediction[J].Journal of Guidance,Control and Dynamics,2010(33):1732-1742. 被引量:1
  • 10Simplício P,Pavel M D,Van Kampen E,et al.An acceleration measurements-based approach for helicopter nonlinear flight control using incremental nonlinear dynamic inversion[J].Control Engineering Practice,2013,21(8):1065-1077. 被引量:1

共引文献20

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部