基于满意度的多目标约束模糊控制规则库的建立及应用

摘要

For the difficulties in modeling nonlinear system, combined with the relative satisfaction optimization theories, this article gave a multi-objective searching fuzzy control rule base based on the fuzzy control system, then used Mamdani-type control algorithm to approximate the optimun solution. The method was applied to a vehicle automatic driving problem with strong nonlinear characteristics, and searched out vehicle automatic driving rule base by quantified the fuzzy control rule base.%　　本文针对难以建模的非线性系统，结合有关满意度优化理论，给出了基于模糊控制系统的多目标搜索规则库的方法，并利用所建立规则采用Mamdani算法来逼近控制问题的最优解。同时把该方法应用在具有强非线性特点的车辆自动驾驶问题上，通过对模糊控制规则的量化细分搜索出车辆自动驾驶的规则库。