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论文类型： 期刊论文

发表时间： 2022-06-30

发表刊物： 船舶力学

所属单位： 运载工程与力学学部

期号： 5

页面范围： 545-555

ISSN号： 1007-7294

摘要： A new active control scheme of fuzzy neural network (FNN) adaptive predictive inverse control (APIC) for jacket offshore platforms based on dynamic stiffness matrix (DSM) method is presented. The pressure transducers which are placed on the leg of the offshore platform are used for measuring the random wave forces in real time. And then the responses on the top of the platform under these random wave forces are calculated quickly and accurately by the DSM method. The calculated responses are taken as the input signals of FNN adaptive predictive inverse controller, through which the control force in the imminent time to the platform is forecasted. Meanwhile, a feedback adaptive predictive inverse controller is designed for the purpose of disturbance canceling and error reduction. For validation of the anti-disturbance capability of the control scheme, the active control of the jacket platform with external disturbances of random wind loads was also investigated. The numerical results show that the proposed control scheme has excellent anti-disturbance capability, and can overcome the time delay, and can decrease the vibration response of jacket offshore platform.

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