摘要
主要研究空空导弹的末制导问题。简单研究了三维比例导引律,基于Terminal滑模控制方法提出一种新型的三维末制导律,并分析了它的不足,在此基础上进行改进,从而提出基于RBF神经网络的自适应快速终端滑模(AFTSM)制导律。该制导律在非线性系统的精确模型未知的情况下,通过RBF神经网络对非线性模型进行逼近,并根据Lyapunov方法设计了参数自适应律。最后对所研究的导引律在目标机动情况下进行仿真验证,仿真结果表明,该制导律与比例制导相比有较大的性能改善。
The terminal guidance of air-to-air missile is studied. At first, the 3-dimisional PN guidance law is introduced briefly. Then a new 3-dimensional terminal guidance law is put forward based on Terminal Sliding Mode Control, its defects are analyzed for improvement, thus an Adaptive Fast Terminal Sliding Mode（AI;TSM） guidance law is obtained based on neural network. This control method can approach the nonlinear model through RBF neural network when the accurate model of the nonlinear system is unknown. The parameter adaptive law is designed according to Lyapunov theory. The designed guidance law was simulated for maneuvering target, and the simulation result showed that the new guidance law is better than the PN guidance law in performance.
出处
《电光与控制》
北大核心
2009年第9期13-16,28,共5页
Electronics Optics & Control
基金
航空支撑基金资助项目(05C52007)
关键词
空空导弹
末制导
神经网络
TSMC滑模
air-to-air missile
terminal guidance
neural network
terminal sliding mode
