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个人信息Personal Information
副教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:船舶工程学院
学科:船舶与海洋结构物设计制造. 水声工程
联系方式:13478909739
电子邮箱:cuihongyu@dlut.edu.cn
Adaptive Predictive Inverse Control of Offshore Jacket Platform Based on Rough Neural Network
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论文类型:期刊论文
发表时间:2009-06-01
发表刊物:CHINA OCEAN ENGINEERING
收录刊物:SCIE、EI、ISTIC、Scopus
卷号:23
期号:2
页面范围:185-198
ISSN号:0890-5487
关键字:offshore jacket platform; rough set; neural network; dynamic stiffness matrix; adaptive predictive inverse control; wave load; wind load
摘要:The offshore jacket platform is a complex and time-varying nonlinear system, which can be excited of harmful vibration by external loads. It is difficult to obtain an ideal control performance for passive control methods or traditional active control methods based on accurate mathematic model. In this paper, an adaptive inverse control method is proposed on the basis of novel rough neural networks (RNN) to control the harmful vibration of the offshore jacket platform, and the offshore jacket platform model is established by dynamic stiffness matrix (DSM) method. Benefited from the nonlinear processing ability of the neural networks and data interpretation ability of the rough set theory, RNN is utilized to identify the predictive inverse model of the offshore jacket platform system. Then the identified model is used as the adaptive predictive inverse controller to control the harmful vibration caused by wave and wind loads, and to deal with the delay problem caused by signal transmission in the control process. The numerical results show that the constructed novel RNN has advantages such as clear structure, fast training speed and strong error-tolerance ability, and the proposed method based on RNN can effectively control the harmful vibration of the offshore jacket platform.