| 引用本文: | 陈玉全,孙运康,马成,王冰.基于自适应预设时间趋近律的双馈风机最优滑模控制[J].控制理论与应用,2025,42(9):1867~1874.[点击复制] |
| CHEN Yu-quan,SUN Yu-kang,MA Cheng,WANG Bing.Optimal sliding mode control for doubly fed wind turbines based on an adaptive predefined-time reaching law[J].Control Theory & Applications,2025,42(9):1867~1874.[点击复制] |
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| 基于自适应预设时间趋近律的双馈风机最优滑模控制 |
| Optimal sliding mode control for doubly fed wind turbines based on an adaptive predefined-time reaching law |
| 摘要点击 2044 全文点击 173 投稿时间:2023-09-18 修订日期:2025-02-27 |
| 查看全文 查看/发表评论 下载PDF阅读器 HTML |
| DOI编号 10.7641/CTA.2024.30631 |
| 2025,42(9):1867-1874 |
| 中文关键词 双馈风机 滑模控制 最优滑模面 预设时间趋近律 二阶滑模控制 |
| 英文关键词 doubly fed wind turbine sliding mode control the optimal sliding mode surface predefined-time reaching law second-order sliding mode control |
| 基金项目 国家自然科学基金项目(51777058),江苏省双创博士计划项目(JSSCBS20210243)资助. |
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| 中文摘要 |
| 针对含有匹配扰动的双馈风机功率跟踪控制问题,本文提出了一种基于新型自适应预设时间趋近律的最
优滑模控制方法.首先,根据线性最优反馈控制理论设计了最优积分滑模面,有效地改善闭环系统在滑模运动阶段
的动态响应特性;然后,本文设计了一种参数更少,结构更简单的自适应预设时间趋近律,利用正弦函数的周期性实
现了滑模面的预设时间到达,并提升了滑模面到达时间对滑模面初值的鲁棒性;最后,将所提方法推广至二阶滑模
情形,通过对符号函数进行积分,消除了控制器中的抖振现象,并通过大量的仿真案例验证了所提结论的正确性和
有效性. |
| 英文摘要 |
| To handle the power tracking control problem of doubly fed wind turbines with matched disturbances, the
optimal sliding mode control method based on a novel adaptive predefined-time reaching law is proposed in this paper.
Firstly, according to the linear optimal feedback control theory, an optimal integral sliding mode surface is designed, which
effectively improves the dynamic response characteristics of the closed-loop system during the sliding mode phase. Then,
by using the periodicity of a sine function, an adaptive predefined-time reaching law with fewer parameters and simpler
structure is designed, which could guarantee the predefined-time arrival to the sliding surface and improve the robustness
of the arrival time to initial values. Finally, the proposed methods are extended to the second-order sliding mode case
which could eliminate the chattering phenomenon in the controller by integrating the sign function, and the correctness and
effectiveness of the proposed results are verified by numerous simulation examples. |
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