神经元自适应性减摇鳍零航速控制系统分析  

Analysis of zero speed control system of neuron adaptive fin stabilizer

作　　者：李成海[1] 辛小辰 刘树锋 胡甚平[2] LI Chenghai;XIN Xiaochen;LIU Shufeng;HU Shenping(Shandong Transport Vocational College,Weifang 261206,China;School of Merchant Shipping,Shanghai Maritime University,Shanghai 201306,China)

机构地区：[1]山东交通职业学院,山东潍坊261206 [2]上海海事大学商船学院,上海201306

出　　处：《舰船科学技术》2025年第2期96-100,共5页Ship Science and Technology

基　　金：国家科委重点研发计划项目(2021YFC2801000,2019YFB1600602)。

摘　　要：基于减摇鳍零航速系统使PID控制法不能取得理想减摇效果的难题,分析了改进单神经元自适应控制器机能,在神经元架构不增大复杂性前提下,从根本上提升了非线性处置力,为了减少对减摇鳍零航速伺服驱动系统的需求,依据控制中最优二次型目标理论,在线进行神经元的参数自适应调控,进行了对于驱动功率间接的限制。验证了Lyapunov系统在此控制方法条件下具有的稳定能力,且处于不同海况情形下和PID控制法模拟比对,体现了此方法对于解决减摇鳍零航速非线性控制问题具有强大优势和能力。Based on the problem that the PID control method can not achieve the ideal anti-rolling effect of the fin stabilizer zero speed system,this paper analyzes the function of the improved single neuron adaptive controller,which fundamentally improves the nonlinear disposal force without increasing the complexity of the neuron structure.In order to reduce the demand for the zero speed servo drive system of fin stabilizer,the parameter adaptive regulation of neurons is carried out on-line according to the optimal quadratic target theory in control.Indirect restrictions on driving power are carried out.The stability of the Lyapunov system under the condition of this control method is verified,and compared with the PID control method under different sea conditions,which shows that this method has a strong advantage and ability to solve the nonlinear control problem of zero speed of fin stabilizer.

关 键 词：减摇鳍零航速 神经元自适应力 二次型目标 控制限制 

分 类 号：U664.7[交通运输工程—船舶及航道工程]