一种变论域模糊自适应导引律研究

摘要

Effective guidance is one of the most important tasks to the performance of air-to-air missile. The fuzzy logic controller is able to perform effectively even in situations where the information about the plant is inaccurate and the operating conditions are uncertain. Based on the proportional navigation, the fuzzy logic and the genetic algorithm are combined to develop an evolutionary fuzzy navigation law with self-adapt region for the air-to-air missile guidance. The line of sight (LOS) rate and the closing speed between the missile and the target are inputs of the fuzzy controller. The output of the fuzzy controller is the commanded acceleration. Then a nonlinear function based on the conventional fuzzy logic control is imported to change the region. This nonlinear function can be changed with the input variables. So the dynamic change of the fuzzy variable region is achieved. The guidance law is optimized by the genetic algorithm. Simulation results of air-to-air missile attack using MATLAB show that the method needs less acceleration and shorter flying time, and its realization is simple.%针对空空导弹的导引律问题,基于模糊逻辑和遗传算法,提出了一种论域自调整的进化模糊导引律.将导弹与目标的接近速度以及导弹的视线角速度作为模糊控制器的输入,指令加速度作为输出,并在传统的模糊逻辑控制基础上引入了一个非线性变论域函数,从而实现了模糊变量论域的动态改变,然后使用遗传算法对导引规则进行了寻优.以某型空空导弹模型为对象使用MATLAB对导弹攻击过程进行了仿真.仿真结果表明,该方法的机动过载小,拦截飞行时间短,是一种较为优越的制导方法.