Abstract
The paper investigates an approximation method of dynamic positioning (DP) vessel optimal control problem. The approximation method is used for sequential improvement of the control law which converges to the optimal by designing a recursive algorithm. It is proved that the designed control law can maintain vessel’s position and heading at desired values, while guaranteeing the asymptotical stability in the control system. The optimal control problem of DP vessel can be solved by this method. Finally, simulation results involving a supply vessel demonstrate the validity of the proposed control law.
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This work was supported in part by the National Natural Science Foundation of China (61751202).
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Gao, X., Li, T., Shan, Q. (2018). Optimal Control for Dynamic Positioning Vessel Based on an Approximation Method. In: Cheng, L., Leung, A., Ozawa, S. (eds) Neural Information Processing. ICONIP 2018. Lecture Notes in Computer Science(), vol 11307. Springer, Cham. https://doi.org/10.1007/978-3-030-04239-4_24
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DOI: https://doi.org/10.1007/978-3-030-04239-4_24
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