摘要
基于单神经元Hebb学习算法,提出依据飞行动压在线修正参数的自适应控制方法。仿真结果表明,该算法对阶跃信号、方波信号具有良好的姿态跟踪性能,对舵机延时25ms情况具有良好的控制性能,对存在15%气动参数偏差情况具有较强的鲁棒性,六自由度仿真进一步验证了该算法的工程可用性。
According to the single-neuron Hebb learning algorithm,the self-adaptive control method is proposed,which can correct the control parameters on-line based on dynamic pressure. Simulation results show that the algorithm has better attitude tracking performance for the step signal and square wave signal,has better attitude control performance for actuator delay 25 ms,and has stronger robustness for 15% aerodynamic parameters deviation. The six degree of freedom simulation further verifies that the method proposed can be used for engineering applications.
作者
宋屹旻
卢宝刚
宫长辉
Song Yimin;Lu Baogang;Gong Changhui(Beijing Institute of Astronautical System Engineering, Beijing 100076, China;Beijing Institute of Space Long March Vehicle, Beijing 100076, China)
出处
《战术导弹技术》
北大核心
2017年第5期99-103,108,共6页
Tactical Missile Technology
关键词
单神经元
自适应控制
姿态控制
single neuron
self-adaptive control
attitude control
