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基于模糊线性模型的舵减横摇广义预测控制
引用本文:葛德宏,高启孝,陈永冰,李安,周岗.基于模糊线性模型的舵减横摇广义预测控制[J].武汉理工大学学报(交通科学与工程版),2009,33(1).
作者姓名:葛德宏  高启孝  陈永冰  李安  周岗
作者单位:海军工程大学电气与信息工程学院,武汉,430033
摘    要:舵减摇技术是一项新的减摇技术,通常其控制器设计所用的舰船模型为通用线性模型,对实际上为非线性被控对象的控制性能要下降.文中依据非线性舰船模型,应用模糊神经网络简化出适应于舵减横摇控制器设计的模糊线性模型,并设计了广义预测控制器.在典型航行工况下进行系统仿真.仿真结果表明,针对模糊线性模型和通用线性模型,用同一种方法与参数设计的2个控制器,前者的减摇率可达到40.70%,要高于后者的25.38%.仿真证明了模糊线性模型的可用性.

关 键 词:模糊线性模型  舵减横摇  广义预测控制  仿真

Generalized Predictive Rudder Roll Stabilization Control for Ships Based on Fuzzy Linear Model
Ge De-hong,Gao Qi-xiao,Chen Yong-bing,Li An,Zhou Gang.Generalized Predictive Rudder Roll Stabilization Control for Ships Based on Fuzzy Linear Model[J].journal of wuhan university of technology(transportation science&engineering),2009,33(1).
Authors:Ge De-hong  Gao Qi-xiao  Chen Yong-bing  Li An  Zhou Gang
Institution:Electrical & Information Eng.College;Naval Univ.of Engineering;Wuhan 430033
Abstract:The Rudder Roll Stabilization(RRS) is a new technology.The current linear model of ship is adopted to design its controller,but the controller has not a satisfying performance.According to the nonlinear model of ship,a predigested fuzzy linear model is built adapted to rudder roll stabilization using fuzzy neural networks.On the basis of the fuzzy linear model,a generalized predictive controller is designed.The system simulation is given under the typical navigation condition.The simulation shows that the c...
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