船舶减摇非线性系统神经网络控制研究
STUDY OF FIN STABILIZER'S CONTROL SYSTEM BASED ON NEURAL NETWORK FOR NONLINEAR ROLL MOTION OF SHIP
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摘要: 本文针对船舶横摇运动的非线性模型,基于BP神经网络设计了一种船舶横摇减摇自适应PID控制器.该控制结构由两个BP神经网络组成,实现了对被控对象输出的预测及PID控制器参数的自整定.仿真表明该控制器对减摇系统的非线性模型有很好的减摇效果.Abstract: In this paper, the author has designed the adaptive control system for fin stabilizer based on the BP neural network, according to nonlinear rolling model of ship. The controller consists of two neural networks, it can automatically adjust PID parameters and forecast the roll posture of ship. Digital simulation results have showed that the fin stabilizer system has remarkable control effect on the nonlinear roll motion.