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Design of a safety operational envelope protection system for a submarine

机译：潜艇安全作业围护系统设计

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AbstractA safety operational envelope (SOE) is an area that guarantees the safety of a submarine from accidents, such as jamming and flooding. In this study, a submarine envelope protection system (EPS) was designed to prevent submarine excursion from the SOE. Modeling of the hull force, propeller force, and main ballast tank blowing was performed. The SOE was established based on a crash stop and emergency rising maneuver simulation. In the estimation model, a linear compensator and neural network are employed to estimate the submarine dynamics. The command limit is calculated using the estimation model and the dynamic trim algorithm, and it is restricted by the limit avoidance. The EPS was applied to a submarine maneuvering simulation program and its performance was verified by a depth change simulation. The designed EPS prevents the submarine from exceeding the limit boundary and the control system can thereby enhance the operational stability.Highlights•The aim of this study is to design an envelope protection system that ensures the submarine maintenance within a predefined safety operational envelope (SOE).•The SOE of the submarine is determined by the emergency rising maneuver and crash-stop simulation results.•The linear approximation model, linear compensator, and neural network are adopted for closed-loop dynamics estimation of limit parameters, such as speed, depth, and pitch angle.•The dynamic trim algorithm and fixed-point iteration method are adopted for limit detection.•The limit avoidance scheme is based on a command-limiting architecture that is designed to protect excursions in the limit parameters.
机译： 摘要 安全作业范围（SOE）是一个区域，可确保潜水艇免受事故（例如人为干扰和洪水）的安全。在这项研究中，设计了海底围护系统（EPS）来防止SOE潜入海底。进行了船体力，螺旋桨力和主压载舱吹气的建模。 SOE是基于碰撞停止和紧急上升演习模拟而建立的。在估计模型中，采用线性补偿器和神经网络来估计潜艇动力学。使用估计模型和动态调整算法来计算命令限制，并且受限制避免的限制。 EPS应用于潜艇机动仿真程序，并通过深度变化仿真验证了其性能。设计的EPS可以防止潜艇越过极限界限，从而控制系统可以提高操作稳定性。 突出显示 • 这项研究的目的是设计一种围护系统，以确保潜艇在预定的安全运行围护结构（SOE）中进行维护。 • 潜水艇由紧急上升演习和碰撞停止模拟结果确定。 • 线性近似模型，线性补偿器，并采用神经网络对极限参数（例如速度，深度和俯仰角）进行闭环动力学估计。 • 采用动态调整算法和定点迭代方法进行极限检测。 • 限制回避方案基于命令限制架构，旨在保护限制参数中的偏移。 < / ce：abstract-sec>

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  • 来源
    《Ocean Engineering》 |2018年第15期|602-611|共10页
  • 作者

    Jong-Yong Park; Nakwan Kim;

  • 作者单位

    Institute of Engineering Research, Seoul National University;

    Department of Naval Architecture and Ocean Engineering, Research Institute of Marine Systems Engineering, Seoul National University;

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  • 正文语种 eng
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