1. 福州大学机械工程及自动化学院,福建,福州,350108
2. 山东理工大学交通与车辆工程学院,山东,淄博,266018
3. 海军工程大学,湖北,武汉,430033
4. 海军研究院, 北京 1001614
5. 海军潜艇学院,山东,青岛,266199
6. 福州大学机械工程及自动化学院,福建,福州,350108
7. 山东理工大学交通与车辆工程学院,山东,淄博,266018
8. 海军工程大学,湖北,武汉,430033
9. 海军研究院 北京 1001614
10. 海军潜艇学院,山东,青岛,266199
网络出版:2020-11-25,
纸质出版:2020
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刘锦春, 袁建, 黄峰, 等. 一种归一化QPLL的未知时变谐波噪声主动控制算法[J]. 电子学报, 2020,48(11):2186-2195.
LIU Jin-chun, YUAN Jian, HUANG Feng, et al. A Normalized QPLL Based Active Control Algorithm for Unknown and Time-Varying Harmonic Noise[J]. Acta Electronica Sinica, 2020, 48(11): 2186-2195.
刘锦春, 袁建, 黄峰, 等. 一种归一化QPLL的未知时变谐波噪声主动控制算法[J]. 电子学报, 2020,48(11):2186-2195. DOI: 10.3969/j.issn.0372-2112.2020.11.013.
LIU Jin-chun, YUAN Jian, HUANG Feng, et al. A Normalized QPLL Based Active Control Algorithm for Unknown and Time-Varying Harmonic Noise[J]. Acta Electronica Sinica, 2020, 48(11): 2186-2195. DOI: 10.3969/j.issn.0372-2112.2020.11.013.
针对船舶机械未知时变谐波噪声的主动控制问题,基于正交锁相环原理,提出了一种归一化QPLL(Quadrature Phase Locked Loop)的未知时变谐波噪声主动控制方法.通过在相位/频率更新结构中引入参数调整因子,形成一种改进的QPLL结构;引入次级通道,设计并提出了基于QPLL的未知时变谐波噪声控制算法.首先,通过平均化理论和线性化方法,分析该算法的稳定性,指出了次级通道特性和谐波信号幅值对该算法收敛性能的影响;其次,基于分析结果,引入次级通道、幅值归一化措施,形成一种归一化的未知时变谐波噪声主动控制算法,提升稳定性能和收敛速度;最后,通过仿真验证了归一化改进措施对未知时变谐波噪声主动控制算法综合性能的改善效果.
In order to tackle the problem of active control of unknown and time-varying harmonic noise induced by ship on-board machinery
a modified normalized QPLL (Quadrature Phase Locked Loop) based active control algorithm is proposed inspired by quadrature phase locked loop tracking mechanism. With the introduction of adjustment parameter in phase/frequency structure
an improved QPLL structure is derived. Then
design of active control algorithm based on QPLL is proposed by introducing secondary path in the control loop. In the proposed algorithm
firstly
performance effect caused by secondary path and amplitude of sinusoidal signal is pointed out by using averaging theory and approximating analysis. Secondly
an improved active control algorithm for time-varying sinusoidal is proposed with the normalization of secondary path and amplitude. Finally
simulation results validate the effective performance improvement of active control algorithm for unknown and time-varying harmonic noise.
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