导弹导引律抖振问题的算法研究

Study on the Algorithm for Buffeting in Missile Guidance Law

在自适应滑模导引律的基础上,提出了一种基于模糊神经网络(FNN)的自适应滑模导引律。该导引律通过模糊神经网络对滑模控制器中引起抖振的参数进行调整,较好地解决了滑模导引中存在的抖振问题。仿真结果表明,在目标作大机动的情况下,该导引律与传统的比例导引率相比有较大的性能改善。

Based on Fuzzy Neural Network （ FNN）, an intelligent adaptive sliding-mode guidance law is presented. By FNN, the guidance law adjusts the parameters in the sliding-mode controller, which lead to buffeting, and do well to solve the buffeting problem in the sliding-mode guidance. The simulation results show that in the states of aiming at highly maneuverable targets, the guidance law can improve performances significantly comparing with traditional proportional navigation.