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...
| Main Authors: | , , , , |
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| Format: | Book Chapter |
| Language: | English English |
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Springer Singapore
2018
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848821698230484992 |
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| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T02:29:29Z |
| format | Book Chapter |
| id | ump-22979 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T02:29:29Z |
| publishDate | 2018 |
| publisher | Springer Singapore |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Chapter 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 |
| 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 |
| title | 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_short | 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| 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 |