基于进化策略的导弹模糊制导律设计

由于导弹制导和控制系统的时变性、非线性和不确定性以及目标加速度的随机性等特点，以制导和控制系统精确数学模型为基础的常规制导律难于满足现代高性能制导系统要求。利用模糊逻辑不依赖对象精确数学模型、对知识具有很强的综合表达和逻辑推理等特点，综合了模糊比例制导律。并基于最优制导性能指标，利用进化策略对制导规则进行了优化。将定性和定量综合集成起来，具有比例制导的简易性，又有最优制导的高性能。实现了自适应变比例导航系数的比例制导律，具有较高鲁棒性和智能化程度，仿真结果表明了该方法有效性。

Synthesis of fuzzy logic guidance law for homing missiles using evolutionary strategies

The traditionary missile guidance laws based on exact models of missile guidance and control system, such as proportional navigation guidance(PNG), are difficult to attain high performances because of the characteristics of time-variability, nonlinear and uncertainty of missile guidance and control systems. The fuzzy logic guidance law (FLG) was synthesized based on its characteristics of independent on exact models of plant and the strong ability for knowledge represent and inference. The rules of fuzzy logic guidance law were optimized using evolutionary strategies (ES) with fast backpropagation (BP) mutation operator based on the performance index of optimal guidance law (OGL). The ES-based FLG integrated the qualitative inference and quantitative optimization. The proposed guidance law has the superiority because it has not only the simple structure with PNG but also the high performance with OGL. The proposed ES-based FLG is actually a kind of PNG with optimized and adaptively varying navigation ratio and has good robustness and intelligence. The simulation results show the effectiveness of the proposed ES-based FLG.