Model-free state feedback controller tuning for a liquid slosh suppression system
This paper presents a model-free tuning of a data-driven pole placement state feedback controller for a liquid slosh suppression system. The optimum parameter gains of the state feedback controller are derived utilizing a set of initial input and output data recorded from the discrete-time system. T...
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Springer, Singapore
2022
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Online Access: | http://umpir.ump.edu.my/id/eprint/34442/1/Model-free%20state%20feedback%20controller%20tuning.pdf http://umpir.ump.edu.my/id/eprint/34442/ https://doi.org/10.1007/978-981-16-2406-3_72 |
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my.ump.umpir.344422022-11-11T07:00:23Z http://umpir.ump.edu.my/id/eprint/34442/ Model-free state feedback controller tuning for a liquid slosh suppression system N., Zulkifli M., Ramli H., Ahmad A., Irawan T Technology (General) TK Electrical engineering. Electronics Nuclear engineering This paper presents a model-free tuning of a data-driven pole placement state feedback controller for a liquid slosh suppression system. The optimum parameter gains of the state feedback controller are derived utilizing a set of initial input and output data recorded from the discrete-time system. To overcome the existence of the large steady state error when only the state feedback controller was applied, an integral control is added to compensate for such signal. The feasibility of proposed method is illustrated through numerical simulation by comparison with the conventional approach of designing the state feedback controller. The performance of system is investigated based on transient response positioning movement of the cart container, and the level of slosh reduction in the liquid. Springer, Singapore 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/34442/1/Model-free%20state%20feedback%20controller%20tuning.pdf N., Zulkifli and M., Ramli and H., Ahmad and A., Irawan (2022) Model-free state feedback controller tuning for a liquid slosh suppression system. In: Proceedings of the 12th National Technical Seminar on Unmanned System Technology 2020: NUSYS’20, 27-28 October 2020 , Virtually via the IEEE OES Malaysia Virtual/Online Conference Platform. pp. 979-993., 770. ISBN 1876-1100 https://doi.org/10.1007/978-981-16-2406-3_72 |
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T Technology (General) TK Electrical engineering. Electronics Nuclear engineering N., Zulkifli M., Ramli H., Ahmad A., Irawan Model-free state feedback controller tuning for a liquid slosh suppression system |
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This paper presents a model-free tuning of a data-driven pole placement state feedback controller for a liquid slosh suppression system. The optimum parameter gains of the state feedback controller are derived utilizing a set of initial input and output data recorded from the discrete-time system. To overcome the existence of the large steady state error when only the state feedback controller was applied, an integral control is added to compensate for such signal. The feasibility of proposed method is illustrated through numerical simulation by comparison with the conventional approach of designing the state feedback controller. The performance of system is investigated based on transient response positioning movement of the cart container, and the level of slosh reduction in the liquid. |
format |
Conference or Workshop Item |
author |
N., Zulkifli M., Ramli H., Ahmad A., Irawan |
author_facet |
N., Zulkifli M., Ramli H., Ahmad A., Irawan |
author_sort |
N., Zulkifli |
title |
Model-free state feedback controller tuning for a liquid slosh suppression system |
title_short |
Model-free state feedback controller tuning for a liquid slosh suppression system |
title_full |
Model-free state feedback controller tuning for a liquid slosh suppression system |
title_fullStr |
Model-free state feedback controller tuning for a liquid slosh suppression system |
title_full_unstemmed |
Model-free state feedback controller tuning for a liquid slosh suppression system |
title_sort |
model-free state feedback controller tuning for a liquid slosh suppression system |
publisher |
Springer, Singapore |
publishDate |
2022 |
url |
http://umpir.ump.edu.my/id/eprint/34442/1/Model-free%20state%20feedback%20controller%20tuning.pdf http://umpir.ump.edu.my/id/eprint/34442/ https://doi.org/10.1007/978-981-16-2406-3_72 |
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1751536373110669312 |