Pneumatic positioning control system using constrained model predictive controller: experimental repeatability test
Most of the controllers that were proposed to control the pneumatic positioning system did not consider the limitations or constraints of the system in their algorithms. Non-compliance with the prescribed system constraints may damage the pneumatic components and adversely affect its positioning acc...
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Institute of Advanced Engineering and Science
2021
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Online Access: | http://eprints.utm.my/id/eprint/95555/1/MFRahmat2021_PneumaticPositioningControlSystem.pdf http://eprints.utm.my/id/eprint/95555/ http://dx.doi.org/10.11591/ijece.v11i5.pp3913-3923 |
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my.utm.955552022-05-31T12:46:21Z http://eprints.utm.my/id/eprint/95555/ Pneumatic positioning control system using constrained model predictive controller: experimental repeatability test Sulaiman, S. F. Rahmat, M. F. Faudzi, A. A. Osman, K. Samsudin, S. I. Abidin, A. F. Z. Sulaiman, N. A. TK Electrical engineering. Electronics Nuclear engineering Most of the controllers that were proposed to control the pneumatic positioning system did not consider the limitations or constraints of the system in their algorithms. Non-compliance with the prescribed system constraints may damage the pneumatic components and adversely affect its positioning accuracy, especially when the system is controlled in real-time environment. Model predictive controller (MPC) is one of the predictive controllers that is able to consider the constraint of the system in its algorithm. Therefore, constrained MPC (CMPC) was proposed in this study to improve the accuracy of pneumatic positioning system while considering the constraints of the system. The mathematical model of pneumatic system was determined by system identification technique and the control signal to the valves were considered as the constraints of the pneumatic system when developing the controller. In order to verify the accuracy and reliability of CMPC, repetitive experiments on the CMPC strategy was implemented. The existing predictive controller, that was used to control the pneumatic system such as predictive functional control (PFC), was also compared. The experimental results revealed that CMPC effectively improved the position accuracy of the pneumatic system compared to PFC strategy. However, CMPC not capable to provide a fast response as PFC. Institute of Advanced Engineering and Science 2021 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/95555/1/MFRahmat2021_PneumaticPositioningControlSystem.pdf Sulaiman, S. F. and Rahmat, M. F. and Faudzi, A. A. and Osman, K. and Samsudin, S. I. and Abidin, A. F. Z. and Sulaiman, N. A. (2021) Pneumatic positioning control system using constrained model predictive controller: experimental repeatability test. International Journal of Electrical and Computer Engineering, 11 (5). ISSN 2088-8708 http://dx.doi.org/10.11591/ijece.v11i5.pp3913-3923 DOI: 10.11591/ijece.v11i5.pp3913-3923 |
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TK Electrical engineering. Electronics Nuclear engineering Sulaiman, S. F. Rahmat, M. F. Faudzi, A. A. Osman, K. Samsudin, S. I. Abidin, A. F. Z. Sulaiman, N. A. Pneumatic positioning control system using constrained model predictive controller: experimental repeatability test |
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Most of the controllers that were proposed to control the pneumatic positioning system did not consider the limitations or constraints of the system in their algorithms. Non-compliance with the prescribed system constraints may damage the pneumatic components and adversely affect its positioning accuracy, especially when the system is controlled in real-time environment. Model predictive controller (MPC) is one of the predictive controllers that is able to consider the constraint of the system in its algorithm. Therefore, constrained MPC (CMPC) was proposed in this study to improve the accuracy of pneumatic positioning system while considering the constraints of the system. The mathematical model of pneumatic system was determined by system identification technique and the control signal to the valves were considered as the constraints of the pneumatic system when developing the controller. In order to verify the accuracy and reliability of CMPC, repetitive experiments on the CMPC strategy was implemented. The existing predictive controller, that was used to control the pneumatic system such as predictive functional control (PFC), was also compared. The experimental results revealed that CMPC effectively improved the position accuracy of the pneumatic system compared to PFC strategy. However, CMPC not capable to provide a fast response as PFC. |
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Article |
author |
Sulaiman, S. F. Rahmat, M. F. Faudzi, A. A. Osman, K. Samsudin, S. I. Abidin, A. F. Z. Sulaiman, N. A. |
author_facet |
Sulaiman, S. F. Rahmat, M. F. Faudzi, A. A. Osman, K. Samsudin, S. I. Abidin, A. F. Z. Sulaiman, N. A. |
author_sort |
Sulaiman, S. F. |
title |
Pneumatic positioning control system using constrained model predictive controller: experimental repeatability test |
title_short |
Pneumatic positioning control system using constrained model predictive controller: experimental repeatability test |
title_full |
Pneumatic positioning control system using constrained model predictive controller: experimental repeatability test |
title_fullStr |
Pneumatic positioning control system using constrained model predictive controller: experimental repeatability test |
title_full_unstemmed |
Pneumatic positioning control system using constrained model predictive controller: experimental repeatability test |
title_sort |
pneumatic positioning control system using constrained model predictive controller: experimental repeatability test |
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Institute of Advanced Engineering and Science |
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2021 |
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http://eprints.utm.my/id/eprint/95555/1/MFRahmat2021_PneumaticPositioningControlSystem.pdf http://eprints.utm.my/id/eprint/95555/ http://dx.doi.org/10.11591/ijece.v11i5.pp3913-3923 |
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1735386818606530560 |
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13.160551 |