基于广义多层次模糊模型的无人机路径规划

无人机自主飞行的路径规划涉及许多因素,为了使决策向量的获得过程尽可能多包含各个因素的信息,采用广义多层次Fuzzy综合评判是一种有效的方法.但是由于预先不知道权数分配,也无法知道评判结果,故无法用解决广义多层次Fuzzy综合评判或解决其逆问题的方法得到结果.为此引入遗传算法,利用其进化特性,求得合理的权数分配和广义多层次Fuzzy综合评判结果,可以达到控制飞机飞行过程的目的.这一过程提供了一种解决非正非逆问题的广义多层次Fuzzy综合评判问题的新思路和新方法.

Path Planning of UCAV Based on the Generalized Multi-Hierarchy Fuzzy Model

In order to get more information including different kinds of conditions, the multi-hierarchy fuzzy evaluation by synthesis is an effective method since the autonomous flying of UCAV does as the path planning involved with many conditions. The main problem is not the multi-hierarchy fuzzy evaluation by synthesis or its converse problem because there does not exist enough information before evaluation. The flying of UCAV can be controlled by the conclusions of the multi-hierarchy fuzzy evaluation by synthesis based on the weight factors in different levels utilizing the genetic algorithms. The above efforts apply a new way or method to solve the multi-hierarchy fuzzy evaluation by synthesis of the problem which is neither a normal problem nor a converse one.