【摘要】 针对船舶动力定位系统提出了一种基于神经网络的模糊控制模型,它通过神经网络来实现模糊控制的模糊化、规则推理到反模糊化的整个过程,并且采用遗传算法进行网络学习;在此基础上针对船舶的纵向运动进行了仿真实验,结果表明,这种模糊神经网络结构及算法对船舶的动力定位实施具有可行性以及有效性.更多还原

【Abstract】 A model of fuzzy control based on neural network is put forward for the Ship Dynamic Positioning System.The progress of fuzzification,fuzzy inference and defuzzification is implemented with the fuzzyneural networks in Dynamic Positioning Systems.Besides,the network is studied by Genetic algorithms.The vibration along the forward direction is simulated.The simulation results show that fuzzyneural network and the Genetic algorithms are available and valid in Ship Dynamic Positioning Systems.更多还原