Design of unconstrained and constrained model predictive control for pneumatic actuator system: Set-point tracking

This paper presents the performance analysis of Model Predictive Controller (MPC) for the controlling of position of cylinder's stroke for pneumatic actuator system. The mathematical model of the system was obtained using System Identification (SI) technique and the linear approach using AutoRe...

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Main Authors: Sulaiman, S. F., Rahmat, M. F., Faudzi, A. A. M., Osman, K.
格式: Conference or Workshop Item
出版: Institute of Electrical and Electronics Engineers Inc. 2016
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在線閱讀:http://eprints.utm.my/id/eprint/73277/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009122126&doi=10.1109%2fSPC.2015.7473569&partnerID=40&md5=150f18487bc6681bd6f204107e4e2f44
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spelling my.utm.732772017-11-26T03:37:08Z http://eprints.utm.my/id/eprint/73277/ Design of unconstrained and constrained model predictive control for pneumatic actuator system: Set-point tracking Sulaiman, S. F. Rahmat, M. F. Faudzi, A. A. M. Osman, K. TK Electrical engineering. Electronics Nuclear engineering This paper presents the performance analysis of Model Predictive Controller (MPC) for the controlling of position of cylinder's stroke for pneumatic actuator system. The mathematical model of the system was obtained using System Identification (SI) technique and the linear approach using AutoRegressive with Exogenous Input (ARX) was chosen as a model structure to describe the dynamic behavior and characteristics of the system. The input constraints were applied to the MPC algorithm to make the controller operates closer to the limits. In this paper, the performance of MPC in controlling the position of the pneumatic actuator system as well as tracking the set-point was compared with Proportional-Integral (PI) controller. The performance of the controllers were assessed by taking into account the percentage overshoot (%OS), settling time (ts), rise time (tr), and steady-state error (SSE) of the responses. Simulation results show the effectiveness of the MPC with constrained input in producing better transient response and minimizing SSE. 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) Design of unconstrained and constrained model predictive control for pneumatic actuator system: Set-point tracking. In: IEEE Conference on System, Process and Control, ICSPC 2015, 19 December 2015 through 20 December 2015, Malaysia. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009122126&doi=10.1109%2fSPC.2015.7473569&partnerID=40&md5=150f18487bc6681bd6f204107e4e2f44
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Sulaiman, S. F.
Rahmat, M. F.
Faudzi, A. A. M.
Osman, K.
Design of unconstrained and constrained model predictive control for pneumatic actuator system: Set-point tracking
description This paper presents the performance analysis of Model Predictive Controller (MPC) for the controlling of position of cylinder's stroke for pneumatic actuator system. The mathematical model of the system was obtained using System Identification (SI) technique and the linear approach using AutoRegressive with Exogenous Input (ARX) was chosen as a model structure to describe the dynamic behavior and characteristics of the system. The input constraints were applied to the MPC algorithm to make the controller operates closer to the limits. In this paper, the performance of MPC in controlling the position of the pneumatic actuator system as well as tracking the set-point was compared with Proportional-Integral (PI) controller. The performance of the controllers were assessed by taking into account the percentage overshoot (%OS), settling time (ts), rise time (tr), and steady-state error (SSE) of the responses. Simulation results show the effectiveness of the MPC with constrained input in producing better transient response and minimizing SSE.
format Conference or Workshop Item
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.
title Design of unconstrained and constrained model predictive control for pneumatic actuator system: Set-point tracking
title_short Design of unconstrained and constrained model predictive control for pneumatic actuator system: Set-point tracking
title_full Design of unconstrained and constrained model predictive control for pneumatic actuator system: Set-point tracking
title_fullStr Design of unconstrained and constrained model predictive control for pneumatic actuator system: Set-point tracking
title_full_unstemmed Design of unconstrained and constrained model predictive control for pneumatic actuator system: Set-point tracking
title_sort design of unconstrained and constrained model predictive control for pneumatic actuator system: set-point tracking
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2016
url http://eprints.utm.my/id/eprint/73277/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009122126&doi=10.1109%2fSPC.2015.7473569&partnerID=40&md5=150f18487bc6681bd6f204107e4e2f44
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score 13.251813