RBF模糊神经网络航向模糊控制器的遗传优化方法

Genetic optimization method of RBF fuzzy neural network heading fuzzy controller

精准的控制船舶航向可以有效的保证船舶航行安全,本文利用遗传算法对RBF模糊神经网络航向模糊控制器进行了优化,在优化的过程中进行了模糊编码、优良模式自学习算子、最优串重组,最后通过仿真实验来说明,通过遗传算法优化后能够在改变参数的情况下使得船舶可以在预定的范围内可控的、稳定地行驶。

Precise control of the ship's course can effectively guarantee the safety of the ship navigation. In this paper,use genetic algorithm to optimize the RBF fuzzy neural network heading fuzzy controller. In the process of optimization, the fuzzy coding, the excellent model self learning operator and the optimal string recombination were carried out. Finally, the simulation results showed that after optimization of genetic algorithm, the ship could be controlled in a predetermined range,and could be stably and stably in the condition of changing parameters.