摘要

The offshore jacket platform usually produces harmful vibration under the action of random loads, and the corresponding dynamic response of the platform has severe nonlinearity and time variation. However, the ideal effects of vibration control can not be achieved using traditional passive control method or active control method based on the accurate mathematical model. In this paper, a new inverse control method is presented based on grey prediction, rough neural network and dynamic stiffness matrix, and which is applied to control the harmful vibration of the offshore jacket platform. Experimental results show that the new control method can effectively decrease the harmful vibration, and also successfully solve the control signal transmission delay problem.

  • 出版日期2010

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