The factors which affect vessel motion mainly come from environmental influences. In the actual conditions, each of the oceans will exhibit different characteristics. This paper aims todevelop a fuzzy adaptive interactive (FAI) algorithm for the marine dynamic positioning system (DPs) under unexpected impacts of the Vietnam Sea. The response error ξ between the ideal model and the actual model helps to estimate more accurately the variation amplitude caused by nonlinear components. Based on the response error ξ, the control signal of actual model which is adjusted suitably to the ideal model proceeds the DPs maintain the vessel in a position under the environmental conditions of Vietnam Sea. On the other hand, the impact parameters are explored by the actual conditions to increase the reliability of the proposed solution. Simulation results of the FAI are evaluated in comparison with other methods such as fuzzy. The FAI performs the desired response of DPs better than other in two case studies, that proved the effective for the proposed controller.

中文翻译：

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越南海意外影响下海洋动态定位系统的模糊自适应交互式算法设计

影响船舶运动的因素主要来自环境影响。在实际条件下，每个海洋都会表现出不同的特征。本文旨在针对越南海意想不到的影响，为海洋动态定位系统（DPs）开发一种模糊自适应交互式（FAI）算法。理想模型与实际模型之间的响应误差ξ有助于更准确地估计非线性分量引起的变化幅度。根据响应误差ξ，将实际模型的控制信号调整为理想模型后，DP便将船舶保持在越南海环境条件下的位置。另一方面，通过实际条件探索冲击参数，以提高所提出解决方案的可靠性。与其他方法（例如模糊）相比，对FAI的仿真结果进行了评估。在两个案例研究中，FAI能够更好地执行DP的期望响应，这证明了所提出控制器的有效性。