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To study the pitching stabilization performance of super-large ships under severe sea conditions, this paper takes the tanker "KVLCC2" as the research object. A weighting matrix is utilized to stabilize its transfer function model in Mathematica, and the stability of the model is verified using the root trajectory shaping method. Subsequently, a simplified first-order closed-loop gain-shaping algorithm is applied to design the robust controller. In addition, a dual nonlinear feedback control algorithm is proposed to be incorporated into the control system to further enhance its pitching stabilization performance. To validate the effectiveness of the dual nonlinear feedback control system for pitching stabilization, wind scale of 7 and 8 wind and wave models along with perturbation links are introduced into the system for simulation experiments. The experimental results demonstrate that even with a time lag constant of 0.15, the dual nonlinear feedback control system effectively improves the ship's pitching stabilization performance under rough sea conditions. The proposed dual nonlinear feedback control system can provide technical support for the smooth and efficient navigation of super-large ships in varying sea conditions.

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为研究恶劣海况下超大型船舶减纵摇性能，以“KVLCC2”油轮为研究对象，利用加权矩阵使其传递函数数学模型稳定并使用根轨迹成型法验证其模型稳定性。而后利用简化后的一阶闭环增益成型算法设计鲁棒控制器，同时提出双重非线性反馈控制算法并将其加入控制系统中，进一步提高减纵摇性能。为验证双重非线性反馈控制系统减纵摇性能，在系统中加入7级和8级风浪模型及摄动环节仿真试验。结果表明，当时滞常数为0.15时，双重非线性反馈控制系统在恶劣海况下亦能提高船舶的减纵摇性能。所提双重非线性反馈控制系统可为超大型船舶在变化海况下平稳、高效航行提供技术支撑。

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宋纯羽（1996—），男，讲师，博士，研究方向为船舶控制和船舶辨识建模。E-mail:scy_dlou@163.com

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宋纯羽（1996—），男，讲师，博士，研究方向为船舶控制和船舶辨识建模。E-mail:scy_dlou@163.com

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