LAPSE:2023.14629
Published Article

LAPSE:2023.14629
Extended Digital Programmable Low-Pass Filter for Direct Noise Filtering of Three-Phase Variables in Low-Cost AC Drives
March 1, 2023
Abstract
This paper proposes an extended structure of a programmable low-pass filter (PLPF) for direct filtering of three-phase variables in automotive AC drives. The PLPF adjusts its cut-off frequency according to the synchronous frequency of the AC motors. Moreover, it compensates gain attenuation and phase delay of the fundamental component signal. The conventional PLPF can only be applied to variables in the stationary reference frame. In order to obtain filtered three-phase variables, an inverse reference frame transformation is required. However, the extended structure, which includes reference frame transformations, can be directly applied to three-phase variables and remove the noise in the earlier stage before transformation. The extended PLPF is more useful for making signal flows clear and intuitive when organizing an algorithm that directly requires three-phase variables. The extended PLPF requires a moderate computational load corresponding with that of the conventional PLPF because its formula is simplified by use of Kirchhoff’s law. The reduction in the execution time is critical for implementing the filter based on low-cost microcontrollers. Using case studies, dead-time compensations and open-phase fault detection for AC drives show the effectiveness of the extended PLPF.
This paper proposes an extended structure of a programmable low-pass filter (PLPF) for direct filtering of three-phase variables in automotive AC drives. The PLPF adjusts its cut-off frequency according to the synchronous frequency of the AC motors. Moreover, it compensates gain attenuation and phase delay of the fundamental component signal. The conventional PLPF can only be applied to variables in the stationary reference frame. In order to obtain filtered three-phase variables, an inverse reference frame transformation is required. However, the extended structure, which includes reference frame transformations, can be directly applied to three-phase variables and remove the noise in the earlier stage before transformation. The extended PLPF is more useful for making signal flows clear and intuitive when organizing an algorithm that directly requires three-phase variables. The extended PLPF requires a moderate computational load corresponding with that of the conventional PLPF because its formula is simplified by use of Kirchhoff’s law. The reduction in the execution time is critical for implementing the filter based on low-cost microcontrollers. Using case studies, dead-time compensations and open-phase fault detection for AC drives show the effectiveness of the extended PLPF.
Record ID
Keywords
AC drives, dead-time, delay, motor, noise, programmable low-pass filter
Subject
Suggested Citation
Choi C, Lee W. Extended Digital Programmable Low-Pass Filter for Direct Noise Filtering of Three-Phase Variables in Low-Cost AC Drives. (2023). LAPSE:2023.14629
Author Affiliations
Choi C: Software Development Team, Myunghwa Ind. Co., Ltd., 123 Gasan digital 2-ro, Guemcheon-gu, Seoul 08505, Korea
Lee W: Department of Control and Instrumentation Engineering, Changwon National University, Changwon 51440, Korea
Lee W: Department of Control and Instrumentation Engineering, Changwon National University, Changwon 51440, Korea
Journal Name
Energies
Volume
15
Issue
6
First Page
2096
Year
2022
Publication Date
2022-03-13
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15062096, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.14629
This Record
External Link

https://doi.org/10.3390/en15062096
Publisher Version
Download
Meta
Record Statistics
Record Views
378
Version History
[v1] (Original Submission)
Mar 1, 2023
Verified by curator on
Mar 1, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.14629
Record Owner
Auto Uploader for LAPSE
Links to Related Works
(0.11 seconds)
[0.11 s]
