adaptive cancellation
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2021 ◽  
Vol 256 ◽  
pp. 02043
Author(s):  
Lei Wang ◽  
Sun Pan ◽  
Sun Jun ◽  
Liang Yan ◽  
Xie Hai Lang ◽  
...  

When the active power filter (APF) and the tunable filter are used for specific harmonic suppression, the accurate single harmonic current detection module is one of the key links to ensure its harmonic suppression effect. An improved single harmonic detection method based on the principle of adaptive cancellation has been proposed, which does not have some of the problems of traditional algorithms, for instance the feedback error is not accurate enough, and the contradiction between tracking speed and steady-state accuracy. This method can accurately and quickly detect the harmonic amplitude and phase angle, and can be flexibly applied to the harmonic detection of three-phase and single-phase systems. Through theoretical analysis and MATLAB simulation, it is proved that the method can guarantee a higher steady-state accuracy and a faster tracking speed.


Mechatronics ◽  
2020 ◽  
Vol 71 ◽  
pp. 102423
Author(s):  
L. Marko ◽  
M. Saxinger ◽  
A. Steinboeck ◽  
W. Kemmetmüller ◽  
A. Kugi

2020 ◽  
Vol 67 (4) ◽  
pp. 705-709 ◽  
Author(s):  
Zhaobi Chu ◽  
Wusong Zhang ◽  
Min Zhu ◽  
Xueping Dong ◽  
Bo Chen

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 970 ◽  
Author(s):  
Xiong ◽  
Chen ◽  
Huang

Wearable electrocardiogram (ECG) devices are universally used around the world for patients who have cardiovascular disease (CVD). At present, how to suppress motion artifacts is one of the most challenging issues in the field of physiological signal processing. In this paper, we propose an adaptive cancellation algorithm based on multi-inertial sensors to suppress motion artifacts in ambulatory ECGs. Firstly, this method collects information related to the electrode motion through multi-inertial sensors. Then, the part that is not related to the electrode motion is removed through wavelet transform, which improves the correlation of the reference input signal. In this way, the ability of the adaptive cancellation algorithm to remove motion artifacts is improved in the ambulatory ECG. Subsequent experimentation demonstrated that the wavelet adaptive cancellation algorithm based on multi-inertial sensors can effectively remove motion artifacts in ambulatory ECGs.


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