基于模糊逻辑的预测再入制导方法

在研究再入飞行器预测制导基础上,针对实时性要求,提出了一种基于模糊逻辑系统的模糊预测制导方法.首先研究分析了再入飞行器落点纵程与飞行高度、弹道倾角三者之间的联系;设计了以再入飞行器落点偏差和飞行高度为输入,弹道倾角角速度为输出的模糊逻辑系统;并在此基础上根据专家经验制定模糊规则,设计模糊预测制导算法.该方法避免了一般预测制导在形成弹道倾角修正指令时所需要的大量迭代运算,有效减小了预测制导指令的解算时间,为再入飞行器在再入过程中全程使用预测制导提供了可能.仿真结果表明:该方法实时性好,落点精度高,抗干扰能力强,且具有一定的工程实用价值. 

Predictive guidance method for the reentry Vehicles based on fuzzy logic

A novel predictive guidance was presented for the reentry vehicles based on the fuzzy logic system, according to the requirement of real-time capability. The relation of reentry vehicles- altitude, range and flight path angle was analysed firstly. The system of fuzzy logic was designed with altitude and deviation on target as system inputs and the angular rate of flight path angle as system output. The system took advantage of the experts- experiences to construct the fuzzy rules. Then a novel predictive guidance method was devised following the fuzzy logic which was used for guidance command generation. The method avoids massive iteration computation of general predictive guidance when calculating the angular rate of flight path angle revision command and decreases calculating time of predictive guidance to a satisfactory level effectively. The simulation results indicate the strong anti-interference capacity, high guidance precision and great practical value in engineering of this new predictive guidance method.