摘要
本文分别研究模糊控制和遗传算法等智能控制算法在船舶航向控制中的应用。基于模糊控制理论,重新设计高效模糊控制器,该控制器具有实时性强、计算量低、节约存储及高效等优点。并且基于遗传算法,设计一种优化航向模糊PID算法,极大提高了自动舵的控制精度。最后通过Matlab中Simulink对控制器及算法进行仿真实验。
This paper studies the application of intelligent control algorithms such as fuzzy control and genetic algorithm in ship course control. Based on the fuzzy control theory, the fuzzy controller is redesigned. The controller has the advantages of strong real-time performance, low computation, saving storage and high efficiency. And based on the genetic algorithm, an optimized heading fuzzy PID algorithm is designed, which greatly improves the automatic rudder control accuracy. Finally, the simulator and algorithm are simulated by Simulink in Matlab.
出处
《舰船科学技术》
北大核心
2017年第16期22-24,共3页
Ship Science and Technology
基金
廊坊市科技局资助项目(2016011090)
北华航天工业学院校级资助项目(KY-2016-19)
