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首页> 外文会议>Youth Academic Annual Conference of Chinese Association of Automation >Practical adaptive fuzzy fin control design for ship roll stabilization
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Practical adaptive fuzzy fin control design for ship roll stabilization

机译：船舶卷稳定的实用自适应模糊翅片控制设计

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This paper proposes a novel adaptive Neuralfin control method for the ship roll stabilization. Neurallogic system is employed to approximate an unknown nonlinear uncertainty, and the adaptive control method is used to solve the problem of some unknown parameters. By introducing some switching functions, a multiswitching-based adaptive fuzzy fin controller is developed. Based on some nonnegative functions, Barbalat's lemma is adopted to analyze the control performance of the closed-loop fin control system. It is shown that the rolling angle of the ship can be controlled to a preassigned range according to the demand of the crews under the proposed controller, and all the signals in the closed-loop system remain semi-globally uniformly ultimately bounded. Some numerical simulations show that the proposed fin control method is effective to reduce the roll motion of fin stabilizer system.
机译：本文提出了一种用于船滚稳定性的新型自适应神经素控制方法。神经系统用于近似未知的非线性不确定性，并且自适应控制方法用于解决一些未知参数的问题。通过引入一些切换功能，开发了一种多开关的自适应模糊翅片控制器。基于一些非负功能，采用Barbalat的Lemma分析闭环翅片控制系统的控制性能。结果表明，船的滚动角度可以根据所提出的控制器下的机组人员的需求来控制到预先评估的范围，并且闭环系统中的所有信号保持半全球均匀界限。一些数值模拟表明，所提出的翅片控制方法有效地减少鳍稳定器系统的滚动运动。

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