KEYWORDS: Autoregressive models, Control systems, Data modeling, Motion models, Computer simulations, Signal processing, Motion controllers, Device simulation, Statistical analysis, Process control
In the heave compensation process of the offshore crane winch, there is time delay in the detection of the heave motion signal of ship, which affects the work efficiency. In order to achieve accurate prediction of ship motion, this paper has carried out research on the prediction algorithm of heave motion based on time series, established an autoregressive model (AR) of heave displacement sequence and carried out multi-step prediction simulation research on it, it is verified that the algorithm has a good prediction effect on the ship heave data. After that, an improved PID control scheme based on the motion prediction algorithm is proposed, and analyzed the influence of different control coefficients on the compensation effect of the system. Then compared the control effect of traditional PID control and the scheme proposed in this article, the effectiveness of the proposed control scheme based on forecasting algorithm is verified.
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