Data-driven PID tuning for liquid slosh-free motion using memory-based SPSA algorithm

This study proposes a data-driven PID tuning for liquid slosh suppression based on enhanced stochastic approximation. In particular, a new version of Simultaneous Perturbation Stochastic Approximation (SPSA) based on memory type function is introduced. Tis memory-based SPSA (M-SPSA) algorithm has a...

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Main Authors: Mohd Ashraf, Ahmad, Nik Mohd Zaitul, Akmal Mustapha, Mohd Zaidi, Mohd Tumari, Mohd Helmi, Suid, Raja Mohd Taufika, Raja Ismail
Format: Book Section
Language:English
English
Published: Springer Singapore 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/22979/
http://umpir.ump.edu.my/id/eprint/22979/
http://umpir.ump.edu.my/id/eprint/22979/
http://umpir.ump.edu.my/id/eprint/22979/13/37.%20Data-driven%20PID%20tuning%20for%20liquid%20slosh-free%20motion%20using%20memory-based%20SPSA%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/22979/14/37.1%20Data-driven%20PID%20tuning%20for%20liquid%20slosh-free%20motion%20using%20memory-based%20SPSA%20algorithm.pdf
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recordtype eprints
spelling ump-229792019-05-21T04:05:19Z http://umpir.ump.edu.my/id/eprint/22979/ Data-driven PID tuning for liquid slosh-free motion using memory-based SPSA algorithm Mohd Ashraf, Ahmad Nik Mohd Zaitul, Akmal Mustapha Mohd Zaidi, Mohd Tumari Mohd Helmi, Suid Raja Mohd Taufika, Raja Ismail Mohd Ashraf, Ahmad TK Electrical engineering. Electronics Nuclear engineering This study proposes a data-driven PID tuning for liquid slosh suppression based on enhanced stochastic approximation. In particular, a new version of Simultaneous Perturbation Stochastic Approximation (SPSA) based on memory type function is introduced. Tis memory-based SPSA (M-SPSA) algorithm has a capability to obtain better optimization accuracy than the conventional SPSA, since it is able to keep the best design parameter during the tuning process. The effectiveness of this algorithm is tested to data-drive PID tuning for liquid slosh problem. The achievement of the M-SPSA based algorithm is assessed in terms of trajectory tracking of trolley position, slosh angle reduction and also computation time. The outcome of this study shows that the PID-tuned M-SPSA is able to provide better control performance accuracy than the other variant of SPSA based method. Springer Singapore 2018-08 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22979/13/37.%20Data-driven%20PID%20tuning%20for%20liquid%20slosh-free%20motion%20using%20memory-based%20SPSA%20algorithm.pdf pdf en http://umpir.ump.edu.my/id/eprint/22979/14/37.1%20Data-driven%20PID%20tuning%20for%20liquid%20slosh-free%20motion%20using%20memory-based%20SPSA%20algorithm.pdf Mohd Ashraf, Ahmad and Nik Mohd Zaitul, Akmal Mustapha and Mohd Zaidi, Mohd Tumari and Mohd Helmi, Suid and Raja Mohd Taufika, Raja Ismail and Mohd Ashraf, Ahmad (2018) Data-driven PID tuning for liquid slosh-free motion using memory-based SPSA algorithm. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018. Lecture Notes in Electrical Engineering . Springer Singapore, Singapore, pp. 197-210. ISBN 978-981-13-3708-6 https://link.springer.com/chapter/10.1007/978-981-13-3708-6_17 DOI: https://doi.org/10.1007/978-981-13-3708-6_17
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohd Ashraf, Ahmad
Nik Mohd Zaitul, Akmal Mustapha
Mohd Zaidi, Mohd Tumari
Mohd Helmi, Suid
Raja Mohd Taufika, Raja Ismail
Mohd Ashraf, Ahmad
Data-driven PID tuning for liquid slosh-free motion using memory-based SPSA algorithm
description This study proposes a data-driven PID tuning for liquid slosh suppression based on enhanced stochastic approximation. In particular, a new version of Simultaneous Perturbation Stochastic Approximation (SPSA) based on memory type function is introduced. Tis memory-based SPSA (M-SPSA) algorithm has a capability to obtain better optimization accuracy than the conventional SPSA, since it is able to keep the best design parameter during the tuning process. The effectiveness of this algorithm is tested to data-drive PID tuning for liquid slosh problem. The achievement of the M-SPSA based algorithm is assessed in terms of trajectory tracking of trolley position, slosh angle reduction and also computation time. The outcome of this study shows that the PID-tuned M-SPSA is able to provide better control performance accuracy than the other variant of SPSA based method.
format Book Section
author Mohd Ashraf, Ahmad
Nik Mohd Zaitul, Akmal Mustapha
Mohd Zaidi, Mohd Tumari
Mohd Helmi, Suid
Raja Mohd Taufika, Raja Ismail
Mohd Ashraf, Ahmad
author_facet Mohd Ashraf, Ahmad
Nik Mohd Zaitul, Akmal Mustapha
Mohd Zaidi, Mohd Tumari
Mohd Helmi, Suid
Raja Mohd Taufika, Raja Ismail
Mohd Ashraf, Ahmad
author_sort Mohd Ashraf, Ahmad
title Data-driven PID tuning for liquid slosh-free motion using memory-based SPSA algorithm
title_short Data-driven PID tuning for liquid slosh-free motion using memory-based SPSA algorithm
title_full Data-driven PID tuning for liquid slosh-free motion using memory-based SPSA algorithm
title_fullStr Data-driven PID tuning for liquid slosh-free motion using memory-based SPSA algorithm
title_full_unstemmed Data-driven PID tuning for liquid slosh-free motion using memory-based SPSA algorithm
title_sort data-driven pid tuning for liquid slosh-free motion using memory-based spsa algorithm
publisher Springer Singapore
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/22979/
http://umpir.ump.edu.my/id/eprint/22979/
http://umpir.ump.edu.my/id/eprint/22979/
http://umpir.ump.edu.my/id/eprint/22979/13/37.%20Data-driven%20PID%20tuning%20for%20liquid%20slosh-free%20motion%20using%20memory-based%20SPSA%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/22979/14/37.1%20Data-driven%20PID%20tuning%20for%20liquid%20slosh-free%20motion%20using%20memory-based%20SPSA%20algorithm.pdf
first_indexed 2023-09-18T22:34:13Z
last_indexed 2023-09-18T22:34:13Z
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