本文提出针对混合动力船舶发电机组转速的自适应控制优化方法。采用磁电式转速传感器以高精度实时采集发电机转轴转速信号，并结合滑动窗滤波与自适应阈值判定算法对原始数据进行平滑处理，有效抑制噪声与异常值。在此基础上，通过反馈线性化将非线性系统转换为伪线性系统，同时引入零动态设计处理内部动态稳定性；并结合积分控制环节消除稳态误差，构建增强型状态反馈控制律。以某型HATAT-4A8G4混合动力发电机组为对象开展实验，在负载突增50%的工况下进行测试，结果表明，该方法控制响应时间低于400 ms，转速跟踪曲线与理想值高度吻合，控制精度和动态性能均显著优于传统方法，有效提升了混合动力船舶发电机组在变负载条件下的控制品质和运行效率，对于增强船舶动力系统的适应性与可靠性具有重要工程意义。
This study proposes an adaptive control optimization method for the speed of hybrid ship generator sets. Using a magneto electric speed sensor to collect high-precision real-time generator shaft speed signals, and combining sliding window filtering and adaptive threshold determination algorithm to smooth the raw data, effectively suppressing noise and outliers. On this basis, the nonlinear system is transformed into a pseudo linear system through feedback linearization, and zero dynamic design is introduced to handle internal dynamic stability. And combined with integral control to eliminate steady-state errors, an enhanced state feedback control law is constructed. The experiment was conducted on a certain type of HATAT-4A8G4 hybrid power generator set, and tested under the condition of a sudden increase in load by 50%. The results showed that the control response time of this method was less than 400 ms, the speed tracking curve was highly consistent with the ideal value, and the control accuracy and dynamic performance were significantly better than traditional methods. It effectively improved the control quality and operating efficiency of hybrid ship generator sets under variable load conditions, and has important engineering significance for enhancing the adaptability and reliability of ship power systems.
2026,48(8): 98-102 收稿日期：2025-12-12
DOI：10.3404/j.issn.1672-7649.2026.08.015
分类号：U665.1；TP273
作者简介：武雪峥(1991-),女,硕士,讲师,研究方向为电气工程及其自动化
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