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BP Neural Network Vibration Control with time delay for Offshore Platforms under Wave Forces

Hui Ma  Yun Zhang  Gong-You Tang  Bao-Lin Zhang  
【摘要】:This paper designs a vibration controller based on back propagation(BP) neural network for jacket-type offshore platforms with time delay.With an exosystem designed,we can describe the irregular wave forces in the context of Morison equation and wave theory.The original vibration control can be seen as an optimal control problem.This linear discrete-time system is affected by wave forces as external disturbances.A BP neural network controller is designed based on a feedforward and feedback optimal control law with memory(FFOCLM).Neural network has been widely applied in controlling with strong capability of approximation and adaption.The tuning rule for updating weights and thresholds of the network is derived to approximate the dynamics of the control system.Data of the FFOCLM are sampled to train the BP neural network.The simulation results prove the feasibility and efficiency of the BP neural network controller designed in paper for attenuating vibrations of offshore platforms.
【作者单位】:College of Information Science and Engineering,Ocean University of China College of Sciences,China Jiliang University
【基金】:supported by National Natural Science Foundation(NNSF) of China under Grant 41276085,61379029,61673357 and 61572448
【分类号】:TE95;TP183
【正文快照】:
1Introduction Offshore platforms play an integral role in oil,gas and other marine resources exploration.The production rate and efficiency aresupposed to maintain stable with outside vibrationscausedbywaves,currents,wind,or even earthquakes. To find

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