【摘要】 根据船舶定位的原理和特点,设计了基于ANFIS自适应模糊神经网络预报模型的控制方法.该方法对影响船舶定位的各种无规律运动的海浪、风、水流等因素,通过MISOANFIS模糊神经网络的结构,给出影响船舶定位的预报模型,从而建立船舶控制模型.以混合式的学习算法为基础,对条件参数采用反向传播算法,而结论参数采用线性最小二乘估计算法来调整参数.使控制快速准确,实现了船舶推进装置的最优控制,达到船舶精确定位的目的.更多还原

【Abstract】 According to ship positioning theory and features,a controlling method is designed based on ANFIS,Adaptive-Network-Based Fuzzy Interence System.Irregular motional parameters,as wave,wind,current,are inputted to MISO ANFIS to build a ship position prediction model.Based on Mixed Learning algorithm,the condition parameters are adjusted with back-propagetion.and the conclusive parameter is changed by linear LSM estimation to make prompt and accurate control,and through optimizing control to the ship thruster,ship can be accurately positioned.更多还原