多频未知时变扰动下的结构微振动鲁棒自适应控制
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TB535;O327

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中国博士后科学基金资助项目(2021M691598)


Robust adaptive control for micro⁃vibration under multiple unknown and time⁃varying disturbances
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    摘要:

    本文针对多频窄带未知和时变扰动,基于内模原理和 Y?K 参数化方法,提出一种反馈鲁棒自适应振动的主动控制算法。该算法通过设计 PID 中央鲁棒控制器,有效解决了次级通道模型未知情况下的鲁棒控制器参数设计问题。同时提出一种变步长最小均方(Variable Step Size Least Mean Square,VSSLMS)方法,可以在保证稳态误差的基础上大幅提升收敛速度,并通过系统辨识实验验证了所提 VSSLMS 方法相较于其他 VSSLMS 算法在收敛性能上的优越性。通过结构微振动主动控制实时实验,对比验证了单独采用滤波 x 最小均方(Least Mean Square,LMS)自适应控制算法、基于 LMS 算法的鲁棒自适应控制算法和基于 VSSLMS 算法的鲁棒自适应控制算法的抑振效果。实验结果表明,本文基于 VSSLMS 算法的鲁棒自适应控制算法在面向双频正弦窄带扰动以及其频谱、幅值突变情况时,都具有较好的收敛性和鲁棒性。

    Abstract:

    The paper presents a feedback robust adaptive micro-vibration control algorithm for rejection of multiple unknown and time-varying narrow band disturbances. This algorithm is based on the internal model principle and Y-K parameterization method.It solves the problem of the parameter design of center robust controller effectively when the model of secondary path is unknown.Meanwhile, a new variable step size least mean square (VSSLMS) method is proposed, and the advantages of the proposed VSSLMS method compared with other VSSLMS methods is verified by system identification. In the end, the active micro-vibration real-time control experiments are carried out through an active micro-vibration control system. The effect of the filtered-x least mean square (LMS), robust adaptive control algorithm based LMS and robust adaptive control algorithm based VSSLMS are verified by experimental comparison. The results of experiments show that the proposed feedback robust adaptive control algorithm has the best performance compared with the other control algorithms under various disturbances.

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方昱斌,朱晓锦,杨龙飞,许志超,田梦楚,张小兵.多频未知时变扰动下的结构微振动鲁棒自适应控制[J].振动工程学报,2023,36(5):1309~1317.[FANG Yu?bin, ZHU Xiao?jin, YANG Long?fei, XU Zhi?chao, TIAN Meng?chu, ZHANG Xiao?bing. Robust adaptive control for micro⁃vibration under multiple unknown and time⁃varying disturbances[J]. Journal of Vibration Engineering,2023,36(5):1309~1317.]

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  • 在线发布日期: 2023-11-23
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