Design of super twisting algorithm for chattering suppression in machine tools

Sliding mode control is known for its robustness against plant uncertainties and disturbance rejection. An extension of this technique is the addition of super twisting algorithm that suppresses the chattering effect commonly observed with sliding mode control application. This paper elaborates on t...

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Main Authors: Chiew, Tsung Heng, Jamaludin, Zamberi, Bani Hashim, Ahmad Yusairi, Abdullah, Lokman, Rafan, Nur Aidawaty
Format: Article
Language:English
Published: Springer Publishing Company 2017
Online Access:http://eprints.utem.edu.my/id/eprint/21824/2/IJCAS_2017.pdf
http://eprints.utem.edu.my/id/eprint/21824/
https://link.springer.com/article/10.1007/s12555-016-0106-7
http://dx.doi.org/10.1007/s12555-016-0106-7
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spelling my.utem.eprints.218242023-07-20T12:50:30Z http://eprints.utem.edu.my/id/eprint/21824/ Design of super twisting algorithm for chattering suppression in machine tools Chiew, Tsung Heng Jamaludin, Zamberi Bani Hashim, Ahmad Yusairi Abdullah, Lokman Rafan, Nur Aidawaty Sliding mode control is known for its robustness against plant uncertainties and disturbance rejection. An extension of this technique is the addition of super twisting algorithm that suppresses the chattering effect commonly observed with sliding mode control application. This paper elaborates on the design and analysis of the super twisting algorithm with focus on optimizing the gain parameters. Two main components of the sliding mode super twisting controller were designed and validated; that is, the switching function and the control laws. The traditional sliding surface was used as the switching function while control laws with continuous control action were applied. Two gain parameters of the control laws were designed and analyzed in terms of tracking error reduction and chattering effect. A Kalman-Bucy continuous filter was applied for velocity signal estimation. Fast Fourier Transform was applied on the control inputs to investigate the chattering amplitude and root mean square of the tracking error was used as performance indicator for tracking error reduction. Analyses were performed on the effect of gains variation to control performance. Experimental results showed that gain L was sensitive to chattering amplitude while gain W provided wider range of tuning. The control performance was compared to the traditional pseudo-sliding mode controller in terms of tracking error reduction and chattering effect. Results showed that the super twisting algorithm produced superior results in tracking error reduction and was effective in suppressing chattering effect compared to the pseudo-sliding mode controller. Springer Publishing Company 2017 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/21824/2/IJCAS_2017.pdf Chiew, Tsung Heng and Jamaludin, Zamberi and Bani Hashim, Ahmad Yusairi and Abdullah, Lokman and Rafan, Nur Aidawaty (2017) Design of super twisting algorithm for chattering suppression in machine tools. International Journal Of Control, Automation And Systems, 15 (3). pp. 1259-1266. ISSN 1598-6446 https://link.springer.com/article/10.1007/s12555-016-0106-7 http://dx.doi.org/10.1007/s12555-016-0106-7
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description Sliding mode control is known for its robustness against plant uncertainties and disturbance rejection. An extension of this technique is the addition of super twisting algorithm that suppresses the chattering effect commonly observed with sliding mode control application. This paper elaborates on the design and analysis of the super twisting algorithm with focus on optimizing the gain parameters. Two main components of the sliding mode super twisting controller were designed and validated; that is, the switching function and the control laws. The traditional sliding surface was used as the switching function while control laws with continuous control action were applied. Two gain parameters of the control laws were designed and analyzed in terms of tracking error reduction and chattering effect. A Kalman-Bucy continuous filter was applied for velocity signal estimation. Fast Fourier Transform was applied on the control inputs to investigate the chattering amplitude and root mean square of the tracking error was used as performance indicator for tracking error reduction. Analyses were performed on the effect of gains variation to control performance. Experimental results showed that gain L was sensitive to chattering amplitude while gain W provided wider range of tuning. The control performance was compared to the traditional pseudo-sliding mode controller in terms of tracking error reduction and chattering effect. Results showed that the super twisting algorithm produced superior results in tracking error reduction and was effective in suppressing chattering effect compared to the pseudo-sliding mode controller.
format Article
author Chiew, Tsung Heng
Jamaludin, Zamberi
Bani Hashim, Ahmad Yusairi
Abdullah, Lokman
Rafan, Nur Aidawaty
spellingShingle Chiew, Tsung Heng
Jamaludin, Zamberi
Bani Hashim, Ahmad Yusairi
Abdullah, Lokman
Rafan, Nur Aidawaty
Design of super twisting algorithm for chattering suppression in machine tools
author_facet Chiew, Tsung Heng
Jamaludin, Zamberi
Bani Hashim, Ahmad Yusairi
Abdullah, Lokman
Rafan, Nur Aidawaty
author_sort Chiew, Tsung Heng
title Design of super twisting algorithm for chattering suppression in machine tools
title_short Design of super twisting algorithm for chattering suppression in machine tools
title_full Design of super twisting algorithm for chattering suppression in machine tools
title_fullStr Design of super twisting algorithm for chattering suppression in machine tools
title_full_unstemmed Design of super twisting algorithm for chattering suppression in machine tools
title_sort design of super twisting algorithm for chattering suppression in machine tools
publisher Springer Publishing Company
publishDate 2017
url http://eprints.utem.edu.my/id/eprint/21824/2/IJCAS_2017.pdf
http://eprints.utem.edu.my/id/eprint/21824/
https://link.springer.com/article/10.1007/s12555-016-0106-7
http://dx.doi.org/10.1007/s12555-016-0106-7
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