A Modified Full-Band Adjustable Bi-Quad Filter for Mechanical Resonance Suppression in Industrial Servo Drive Systems

Yangyang Chen; Ming Yang; Yongping Sun; Jiang Long; Dianguo Xu; Frede Blaabjerg

doi:10.1109/IAS.2019.8912440

A Modified Full-Band Adjustable Bi-Quad Filter for Mechanical Resonance Suppression in Industrial Servo Drive Systems

Yangyang Chen, Ming Yang, Yongping Sun, Jiang Long, Dianguo Xu, Frede Blaabjerg

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

3 Citations (Scopus)

Abstract

As for mechanical resonance suppression, the online adjustable bi-quad filter is a powerful method and has been widely used in industrial applications. Compared with the notch filter, the bi-quad filter has one more parameter for notch depth design, which is more suitable for servo systems with nature damping coefficient and limited resonant gain. However, this classic method still has room for improvement. Usually, the adjustable bi-quad filter has two steps, including fast Fourier transformation (FFT) analysis, and filter tuning. In this paper, concerning these two steps mentioned above, two targeted modification strategies are proposed. Firstly, a single-phase MIT (SM/T) method is used to remove the certain noise cluster of the FFT result. Then, inspired by the discretization distortion correction of the notch filter, a similar method is designed to avoid that the bi-quad filter becomes inaccurate when the central notch frequency is close to the Nyquist frequency. In the end, the validity and effectiveness of aforementioned analysis and strategies are verified by experimental results.

Original language	English
Title of host publication	2019 IEEE Industry Applications Society Annual Meeting, IAS 2019
Number of pages	6
Place of Publication	USA
Publisher	IEEE Press
Publication date	Sept 2019
Article number	8912440
ISBN (Print)	978-1-5386-4540-6
ISBN (Electronic)	978-1-5386-4539-0
DOIs	https://doi.org/10.1109/IAS.2019.8912440
Publication status	Published - Sept 2019
Event	54th IEEE Industry Applications Society Annual Meeting - IAS 2019 - Hilton Baltimore, 401 West Pratt Street, Baltimore, United States Duration: 29 Sept 2019 → 3 Oct 2019 https://ias.ieee.org/2019annualmeeting

Conference

Conference	54th IEEE Industry Applications Society Annual Meeting - IAS 2019
Location	Hilton Baltimore, 401 West Pratt Street
Country/Territory	United States
City	Baltimore
Period	29/09/2019 → 03/10/2019
Internet address	https://ias.ieee.org/2019annualmeeting

Series	Industry Applications Society. I E E E - I A S Annual Meeting. Conference Record
ISSN	0197-2618

Keywords

Bi-quad filter
Mechanical resonance
Digital control
Speed measurement
Motor drive

Access to Document

10.1109/IAS.2019.8912440

AUB Link

Search for the material in Aalborg University Library's search engine

Cite this

@inproceedings{269f07b2f6c44c1b91a852fefb23e22c,

title = "A Modified Full-Band Adjustable Bi-Quad Filter for Mechanical Resonance Suppression in Industrial Servo Drive Systems",

abstract = "As for mechanical resonance suppression, the online adjustable bi-quad filter is a powerful method and has been widely used in industrial applications. Compared with the notch filter, the bi-quad filter has one more parameter for notch depth design, which is more suitable for servo systems with nature damping coefficient and limited resonant gain. However, this classic method still has room for improvement. Usually, the adjustable bi-quad filter has two steps, including fast Fourier transformation (FFT) analysis, and filter tuning. In this paper, concerning these two steps mentioned above, two targeted modification strategies are proposed. Firstly, a single-phase MIT (SM/T) method is used to remove the certain noise cluster of the FFT result. Then, inspired by the discretization distortion correction of the notch filter, a similar method is designed to avoid that the bi-quad filter becomes inaccurate when the central notch frequency is close to the Nyquist frequency. In the end, the validity and effectiveness of aforementioned analysis and strategies are verified by experimental results.",

keywords = "Bi-quad filter, Mechanical resonance, Digital control, Speed measurement, Motor drive",

author = "Yangyang Chen and Ming Yang and Yongping Sun and Jiang Long and Dianguo Xu and Frede Blaabjerg",

year = "2019",

month = sep,

doi = "10.1109/IAS.2019.8912440",

language = "English",

isbn = "978-1-5386-4540-6",

series = "Industry Applications Society. I E E E - I A S Annual Meeting. Conference Record",

publisher = "IEEE Press",

booktitle = "2019 IEEE Industry Applications Society Annual Meeting, IAS 2019",

note = "54th IEEE Industry Applications Society Annual Meeting - IAS 2019, IAS 2019 ; Conference date: 29-09-2019 Through 03-10-2019",

url = "https://ias.ieee.org/2019annualmeeting",

}

Chen, Y, Yang, M, Sun, Y, Long, J, Xu, D & Blaabjerg, F 2019, A Modified Full-Band Adjustable Bi-Quad Filter for Mechanical Resonance Suppression in Industrial Servo Drive Systems. in 2019 IEEE Industry Applications Society Annual Meeting, IAS 2019., 8912440, IEEE Press, USA, Industry Applications Society. I E E E - I A S Annual Meeting. Conference Record, 54th IEEE Industry Applications Society Annual Meeting - IAS 2019, Baltimore, Maryland, United States, 29/09/2019. https://doi.org/10.1109/IAS.2019.8912440

A Modified Full-Band Adjustable Bi-Quad Filter for Mechanical Resonance Suppression in Industrial Servo Drive Systems. / Chen, Yangyang; Yang, Ming; Sun, Yongping et al.
2019 IEEE Industry Applications Society Annual Meeting, IAS 2019. USA: IEEE Press, 2019. 8912440 (Industry Applications Society. I E E E - I A S Annual Meeting. Conference Record).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - A Modified Full-Band Adjustable Bi-Quad Filter for Mechanical Resonance Suppression in Industrial Servo Drive Systems

AU - Chen, Yangyang

AU - Yang, Ming

AU - Sun, Yongping

AU - Long, Jiang

AU - Xu, Dianguo

AU - Blaabjerg, Frede

PY - 2019/9

Y1 - 2019/9

N2 - As for mechanical resonance suppression, the online adjustable bi-quad filter is a powerful method and has been widely used in industrial applications. Compared with the notch filter, the bi-quad filter has one more parameter for notch depth design, which is more suitable for servo systems with nature damping coefficient and limited resonant gain. However, this classic method still has room for improvement. Usually, the adjustable bi-quad filter has two steps, including fast Fourier transformation (FFT) analysis, and filter tuning. In this paper, concerning these two steps mentioned above, two targeted modification strategies are proposed. Firstly, a single-phase MIT (SM/T) method is used to remove the certain noise cluster of the FFT result. Then, inspired by the discretization distortion correction of the notch filter, a similar method is designed to avoid that the bi-quad filter becomes inaccurate when the central notch frequency is close to the Nyquist frequency. In the end, the validity and effectiveness of aforementioned analysis and strategies are verified by experimental results.

AB - As for mechanical resonance suppression, the online adjustable bi-quad filter is a powerful method and has been widely used in industrial applications. Compared with the notch filter, the bi-quad filter has one more parameter for notch depth design, which is more suitable for servo systems with nature damping coefficient and limited resonant gain. However, this classic method still has room for improvement. Usually, the adjustable bi-quad filter has two steps, including fast Fourier transformation (FFT) analysis, and filter tuning. In this paper, concerning these two steps mentioned above, two targeted modification strategies are proposed. Firstly, a single-phase MIT (SM/T) method is used to remove the certain noise cluster of the FFT result. Then, inspired by the discretization distortion correction of the notch filter, a similar method is designed to avoid that the bi-quad filter becomes inaccurate when the central notch frequency is close to the Nyquist frequency. In the end, the validity and effectiveness of aforementioned analysis and strategies are verified by experimental results.

KW - Bi-quad filter

KW - Mechanical resonance

KW - Digital control

KW - Speed measurement

KW - Motor drive

UR - http://www.scopus.com/inward/record.url?scp=85076772504&partnerID=8YFLogxK

U2 - 10.1109/IAS.2019.8912440

DO - 10.1109/IAS.2019.8912440

M3 - Article in proceeding

SN - 978-1-5386-4540-6

T3 - Industry Applications Society. I E E E - I A S Annual Meeting. Conference Record

BT - 2019 IEEE Industry Applications Society Annual Meeting, IAS 2019

PB - IEEE Press

CY - USA

T2 - 54th IEEE Industry Applications Society Annual Meeting - IAS 2019

Y2 - 29 September 2019 through 3 October 2019

ER -

Chen Y, Yang M, Sun Y, Long J, Xu D, Blaabjerg F. A Modified Full-Band Adjustable Bi-Quad Filter for Mechanical Resonance Suppression in Industrial Servo Drive Systems. In 2019 IEEE Industry Applications Society Annual Meeting, IAS 2019. USA: IEEE Press. 2019. 8912440. (Industry Applications Society. I E E E - I A S Annual Meeting. Conference Record). doi: 10.1109/IAS.2019.8912440

A Modified Full-Band Adjustable Bi-Quad Filter for Mechanical Resonance Suppression in Industrial Servo Drive Systems

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Cite this