【摘要】 为了提高船模航向的精准性，提出了基于模糊PID的船模航向控制方法。使用数据挖掘方法分析船模航行位置信息、侧向偏转角信息、速度信息，挖掘船模航向控制参量与核心数据；利用BP算法自适应调整PID控制器参数，以模糊PID方法实现控制船模航向按照期望航向运行。仿真测试结果表明，在有干扰和无干扰的条件下，所提出的方法能使船模航向角与期望航向角一致，可精准快速地控制船模航向按照期望航向航行。更多还原

【Abstract】 In order to improve the accuracy of ship model heading, a ship model heading control method based on fuzzy PID is designed. Data mining method is used to analyze the navigation position information, lateral deflection angle information and speed information of ship model, and to mine the course control parameters and core data of ship model. BP algorithm is used to adaptively adjust PID controller parameters, and fuzzy PID method is used to control the course of ship model to run according to the expected course. The simulation test results show that the ship model heading angle of this method is consistent with the expected heading angle with and without interference, which can accurately and quickly control the ship model heading to sail according to the expected heading.更多还原