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船舶吊舱SSP推进电机的无模型自适应矢量控制方法

姚文龙 张均东 池荣虎 张桂臣 施振华

姚文龙, 张均东, 池荣虎, 张桂臣, 施振华. 船舶吊舱SSP推进电机的无模型自适应矢量控制方法[J]. 交通运输工程学报, 2014, 14(6): 59-66.
引用本文: 姚文龙, 张均东, 池荣虎, 张桂臣, 施振华. 船舶吊舱SSP推进电机的无模型自适应矢量控制方法[J]. 交通运输工程学报, 2014, 14(6): 59-66.
YAO Wen-long, ZHANG Jun-dong, CHI Rong-hu, ZHANG Gui-chen, SHI Zhen-hua. Model-free adaptive vector control method of SSP propulsion motor for ship pod[J]. Journal of Traffic and Transportation Engineering, 2014, 14(6): 59-66.
Citation: YAO Wen-long, ZHANG Jun-dong, CHI Rong-hu, ZHANG Gui-chen, SHI Zhen-hua. Model-free adaptive vector control method of SSP propulsion motor for ship pod[J]. Journal of Traffic and Transportation Engineering, 2014, 14(6): 59-66.

船舶吊舱SSP推进电机的无模型自适应矢量控制方法

基金项目: 

国家自然科学基金项目 51179102

中国博士后科学基金项目 2012M520710

山东省高等学校科技计划项目 J13LN72

山东省青岛市市南区科技发展项目 2012-5-004-ZH

详细信息
    作者简介:

    姚文龙(1981-), 男, 山东青岛人, 大连海事大学工学博士研究生, 从事船舶电力推进控制技术研究

    张均东(1967-), 男, 辽宁大连人, 大连海事大学教授, 工学博士

  • 中图分类号: U665.11

Model-free adaptive vector control method of SSP propulsion motor for ship pod

More Information
  • 摘要: 考虑具有不确定动态和航行中负载变化与海况干扰的船舶吊舱SSP推进电机控制问题, 提出了一种无模型自适应矢量控制方法, 推导了SSP推进电机的动态线性方程, 设计了基于速度跟踪误差无模型自适应矢量控制器和进行了收敛性证明, 在线调整伪偏导数, 保证了推进电机控制系统跟踪误差一致有界, 并对比了无模型自适应矢量控制器与自整定PI矢量控制器的控制性能。计算结果表明: 基于复合无模型自适应矢量控制的SSP推进系统在恶劣海况下转速平均振荡小于6 r·min-1, 转矩平均振荡小于8.20×104 N·m, 机动航行时对应的值分别小于7 r·min-1与1.08×105 N·m, 而采用自整定PI矢量控制时, 在恶劣海况下转速平均振荡达到13 r·min-1, 转矩平均振荡达到2.13×105 N·m, 机动航行时对应的值分别达到12 r·min-1与2.81×105 N·m, 因此, 复合无模型自适应矢量控制下的转速与转矩抖动和稳态运行静差较小, 具有良好的动态响应。

     

  • 图  1  无模型自适应矢量控制系统

    Figure  1.  Model-free adaptive vector control system

    图  2  自整定PI矢量控制系统

    Figure  2.  Self-adjusting PI vector control system

    图  3  恶劣海况下SSP推进电机转速曲线

    Figure  3.  Speed curves of SSP propulsion motor in rough sea

    图  4  恶劣海况下SSP推进电机转矩曲线

    Figure  4.  Torque curves of SSP propulsion motor in rough sea

    图  5  机动航行时SSP推进电机转速曲线

    Figure  5.  Speed curves of SSP propulsion motor in maneuverable navigation

    图  6  机动航行时SSP推进电机转矩曲线

    Figure  6.  Torque curves of SSP propulsion motor in maneuverable navigation

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  • 收稿日期:  2014-08-21
  • 刊出日期:  2014-12-25

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