非线性船舶的多模型智能控制(英文)  

Multiple model intelligent control for nonlinear ships

作　　者：任光[1] 刘军[1] 朱利民[1] 贾欣乐[1] 

机构地区：[1]大连海事大学轮机工程学院,辽宁大连116026

出　　处：《大连海事大学学报》2002年第B08期11-16,共6页Journal of Dalian Maritime University

基　　金：辽宁省自然科学基金资助项目 (0 0 2 10 5 )

摘　　要：针对非线性船舶控制的困难 ,提出采用多模型智能控制的思想方法。非线性船舶模型可以在其关键工作点线性化 ,例如 :N个工作点。这样就得到N个简单的线性模型。这N个线性模型能够很好地近似原非线性模型。辨识非线性系统的真实工作点是多模型智能控制的第一步 ,也就是选择正确模型。根据选定的正确模型 ,模仿专家控制实施一种次优化控制策略。同时 ,针对舵机和船舶航向控制节能的实际需求 ,还提出次优化控制策略的性能指标。对多模型智能控制的第一步进行了仿真研究。结果表明该方法不仅可应用于船舶控制 ,而且 ,还适用于很多工业过程控制系统。In this paper an idea of a multiple model intelligent control for nonlinear ships is proposed. A nonlinear ship model is linearized responding to several key operating points, for instance N operating points. Then N linearly simple models are obtained to represent the nonlinear ship model. The first step of the method is to identify the true operating point that is to identify the correct model. And then according to the correctly simple model/models and imitating an expert control, a sub optimal control strategy is applied. It is also proposed a sub optimal criterion for the control strategy to achieve the energy efficiency for both the ship course keeping and the steering machine actions. Simulation tests are conducted for the first step of the method. The results demonstrate that the method has a great potential of application in a number of industrial processes.

关 键 词：非线性船舶 多模型 智能控制 船舶控制 

分 类 号：U661[交通运输工程—船舶及航道工程] TP273[交通运输工程—船舶与海洋工程]