| 引用本文: | 张和洪,谢晏清,王娟,但志宏,郭文忠.Levant微分器参数整定算法及在高空台系统的应用[J].控制理论与应用,2023,40(10):1831~1838.[点击复制] |
| ZHANG He-hong,XIE Yan-qing,WANG Juan,DAN Zhi-hong,GUO Wen-zhong.Parameter tuning algorithm for levant’s differentiator and its application in flight environment simulation control system[J].Control Theory and Technology,2023,40(10):1831~1838.[点击复制] |
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| Levant微分器参数整定算法及在高空台系统的应用 |
| Parameter tuning algorithm for levant’s differentiator and its application in flight environment simulation control system |
| 摘要点击 1179 全文点击 530 投稿时间：2021-04-27 修订日期：2023-06-16 |
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| DOI编号 10.7641/CTA.2022.10361 |
| 2023,40(10):1831-1838 |
| 中文关键词 Levant微分器 滤波 参数整定 时间线性变换 坐标变换 飞行环境模拟控制系统 |
| 英文关键词 Levant’s differentiator filtering parameter tuning algorithm time linear transformation coordinate transformation flight environment simulation control system |
| 基金项目 国家自然科学基金项目(62003088), 福建省自然科学基金项目(2021J02008) |
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| 中文摘要 |
| Levant基于超螺旋算法提出的滑模微分器具有滤波效果好且对特定噪声干扰不敏感等特点. 针对该微分器参数调整问题, 文章利用时间线性变换和坐标变换得到了一种有效的参数整定算法, 该算法可依据给定信号的频率和幅值确定微分器参数. 通过频域和时域对比分析表明, 本文所设计的参数整定算法可在保证跟踪滤波与微分信号提取精度的同时, 便捷地给出Levant微分器的有效参数. 最后, 本文将基于参数整定算法的Levant微分器应用到某航空发动机高空模拟试车台飞行环境模拟控制系统的环境信号处理中, 验证了所提算法的有效性及工程应用价值 |
| 英文摘要 |
| With adoption of the sliding mode, the super twisting algorithm (STA) based sliding-mode differentiator proposed by Levant provides good filtering ability and robustness to specific noises interference. A flexible and effective parameter tuning algorithm for this differentiator is proposed in this work. In particular, the principle of the time linear transformation and the coordination transformation is adopted to execute the normalization processing for any given inputs, and meanwhile the key parameters can be determined directly according to the frequency and amplitude of the signals. The characteristics of the differentiator based on the proposed parameter tuning algorithm are shown from both the frequency and the time domains’ analysis. The simulation results show that the proposed algorithm can conveniently and effectively provide a set of parameters for the differentiator to fulfil the accuracy and robustness. Further, the differentiator via the proposed parameter tuning algorithm is applied to the flight environment simulation control system and the experimental results verify the effectiveness of the proposed algorithm and show its potential engineering application value |