Disturbance rejection using Model Predictive control for pneumatic actuator system

'Disturbance' is one of the main reasons why the position control in pneumatic system is difficult to achieve. Disturbance can cause the process (controlled variable) to deviate from their respective set-point and at the same time tracking the set-point is quite impossible. The controller...

Full description

Bibliographic Details
Main Authors: Sulaiman, S. F., Rahmat, M. F., Faudzi, A. A. M., Osman, K.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2016
Subjects:
_version_ 1796862027740741632
author Sulaiman, S. F.
Rahmat, M. F.
Faudzi, A. A. M.
Osman, K.
author_facet Sulaiman, S. F.
Rahmat, M. F.
Faudzi, A. A. M.
Osman, K.
author_sort Sulaiman, S. F.
collection ePrints
description 'Disturbance' is one of the main reasons why the position control in pneumatic system is difficult to achieve. Disturbance can cause the process (controlled variable) to deviate from their respective set-point and at the same time tracking the set-point is quite impossible. The controller is said to be good if it has the ability to reject the disturbance, as this will ensure the stability of the controller itself. This paper presents the performance analysis of Model Predictive Controller (MPC) to reject the disturbance added into the system while controlling the position of cylinder's stroke for pneumatic actuator system. The disturbance was added into the system in order to test the performance of the controllers in rejecting the disturbance. The input constraint was also applied to the MPC algorithm to make the controller operates closer to the limits. In this paper, the performance of MPC in rejecting the disturbance as well as controlling the position of the pneumatic actuator system was compared with Proportional-Integral (PI) controller. Simulation results show the constrained MPC is more effective than unconstrained MPC and PI controller in producing better transient response and minimizing error.
first_indexed 2024-03-05T20:05:21Z
format Conference or Workshop Item
id utm.eprints-73127
institution Universiti Teknologi Malaysia - ePrints
last_indexed 2024-03-05T20:05:21Z
publishDate 2016
publisher Institute of Electrical and Electronics Engineers Inc.
record_format dspace
spelling utm.eprints-731272017-11-26T05:30:42Z http://eprints.utm.my/73127/ Disturbance rejection using Model Predictive control for pneumatic actuator system Sulaiman, S. F. Rahmat, M. F. Faudzi, A. A. M. Osman, K. TK Electrical engineering. Electronics Nuclear engineering 'Disturbance' is one of the main reasons why the position control in pneumatic system is difficult to achieve. Disturbance can cause the process (controlled variable) to deviate from their respective set-point and at the same time tracking the set-point is quite impossible. The controller is said to be good if it has the ability to reject the disturbance, as this will ensure the stability of the controller itself. This paper presents the performance analysis of Model Predictive Controller (MPC) to reject the disturbance added into the system while controlling the position of cylinder's stroke for pneumatic actuator system. The disturbance was added into the system in order to test the performance of the controllers in rejecting the disturbance. The input constraint was also applied to the MPC algorithm to make the controller operates closer to the limits. In this paper, the performance of MPC in rejecting the disturbance as well as controlling the position of the pneumatic actuator system was compared with Proportional-Integral (PI) controller. Simulation results show the constrained MPC is more effective than unconstrained MPC and PI controller in producing better transient response and minimizing error. Institute of Electrical and Electronics Engineers Inc. 2016 Conference or Workshop Item PeerReviewed Sulaiman, S. F. and Rahmat, M. F. and Faudzi, A. A. M. and Osman, K. (2016) Disturbance rejection using Model Predictive control for pneumatic actuator system. In: 12th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2016, 4 March 2016 through 6 March 2016, Melaka; Malaysia. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983527736&doi=10.1109%2fCSPA.2016.7515847&partnerID=40&md5=1566d32f9a03e7bc1244cae64d4faa78
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Sulaiman, S. F.
Rahmat, M. F.
Faudzi, A. A. M.
Osman, K.
Disturbance rejection using Model Predictive control for pneumatic actuator system
title Disturbance rejection using Model Predictive control for pneumatic actuator system
title_full Disturbance rejection using Model Predictive control for pneumatic actuator system
title_fullStr Disturbance rejection using Model Predictive control for pneumatic actuator system
title_full_unstemmed Disturbance rejection using Model Predictive control for pneumatic actuator system
title_short Disturbance rejection using Model Predictive control for pneumatic actuator system
title_sort disturbance rejection using model predictive control for pneumatic actuator system
topic TK Electrical engineering. Electronics Nuclear engineering
work_keys_str_mv AT sulaimansf disturbancerejectionusingmodelpredictivecontrolforpneumaticactuatorsystem
AT rahmatmf disturbancerejectionusingmodelpredictivecontrolforpneumaticactuatorsystem
AT faudziaam disturbancerejectionusingmodelpredictivecontrolforpneumaticactuatorsystem
AT osmank disturbancerejectionusingmodelpredictivecontrolforpneumaticactuatorsystem