Linear and nonlinear arx model for intelligent pneumatic actuator systems
System modeling in describing the dynamic behavior of the system is very important and can be considered as a challenging problem in control systems engineering. This article presents the linear and nonlinear approaches using AutoRegressive with Exogenous Input (ARX) model structure for the modeling...
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Penerbit UTM Press
2016
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| Online Access: | http://eprints.utm.my/id/eprint/71158/1/SitiFatimahSulaiman2016_LinearandNonlinearARXModel.pdf http://eprints.utm.my/id/eprint/71158/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971420411&doi=10.11113%2fjt.v78.5419&partnerID=40&md5=faf28c27cb0ce84cede7eb906c10014a |
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my.utm.711582017-11-15T01:29:15Z http://eprints.utm.my/id/eprint/71158/ Linear and nonlinear arx model for intelligent pneumatic actuator systems Sulaiman, S. F. Rahmat, M. F. Faudzi, A. A. M. Osman, K. TK Electrical engineering. Electronics Nuclear engineering System modeling in describing the dynamic behavior of the system is very important and can be considered as a challenging problem in control systems engineering. This article presents the linear and nonlinear approaches using AutoRegressive with Exogenous Input (ARX) model structure for the modeling of position control of an Intelligent Pneumatic Actuator (IPA) system. The input and output data of the system were obtained from real-time experiment conducted while the linear and nonlinear mathematical models of the system were obtained using system identification (SI) technique. Best fit and Akaike’s criteria were used to validate the models. The results based on simulation reveals that nonlinear ARX (NARX) had the best performance for the modeling of position control of IPA system. The results show that nonlinear modeling is an effective way of analyzing and describing the dynamic behavior and characteristics of IPA system. This approach is also expected to be able to be applied to other systems. A future study exploring the execution of other model structures in demonstrating the position control of IPA system would be exceptionally intriguing. Penerbit UTM Press 2016 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/71158/1/SitiFatimahSulaiman2016_LinearandNonlinearARXModel.pdf Sulaiman, S. F. and Rahmat, M. F. and Faudzi, A. A. M. and Osman, K. (2016) Linear and nonlinear arx model for intelligent pneumatic actuator systems. Jurnal Teknologi, 78 (6). pp. 21-28. ISSN 0127-9696 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971420411&doi=10.11113%2fjt.v78.5419&partnerID=40&md5=faf28c27cb0ce84cede7eb906c10014a |
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TK Electrical engineering. Electronics Nuclear engineering Sulaiman, S. F. Rahmat, M. F. Faudzi, A. A. M. Osman, K. Linear and nonlinear arx model for intelligent pneumatic actuator systems |
| description |
System modeling in describing the dynamic behavior of the system is very important and can be considered as a challenging problem in control systems engineering. This article presents the linear and nonlinear approaches using AutoRegressive with Exogenous Input (ARX) model structure for the modeling of position control of an Intelligent Pneumatic Actuator (IPA) system. The input and output data of the system were obtained from real-time experiment conducted while the linear and nonlinear mathematical models of the system were obtained using system identification (SI) technique. Best fit and Akaike’s criteria were used to validate the models. The results based on simulation reveals that nonlinear ARX (NARX) had the best performance for the modeling of position control of IPA system. The results show that nonlinear modeling is an effective way of analyzing and describing the dynamic behavior and characteristics of IPA system. This approach is also expected to be able to be applied to other systems. A future study exploring the execution of other model structures in demonstrating the position control of IPA system would be exceptionally intriguing. |
| format |
Article |
| 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 |
Linear and nonlinear arx model for intelligent pneumatic actuator systems |
| title_short |
Linear and nonlinear arx model for intelligent pneumatic actuator systems |
| title_full |
Linear and nonlinear arx model for intelligent pneumatic actuator systems |
| title_fullStr |
Linear and nonlinear arx model for intelligent pneumatic actuator systems |
| title_full_unstemmed |
Linear and nonlinear arx model for intelligent pneumatic actuator systems |
| title_sort |
linear and nonlinear arx model for intelligent pneumatic actuator systems |
| publisher |
Penerbit UTM Press |
| publishDate |
2016 |
| url |
http://eprints.utm.my/id/eprint/71158/1/SitiFatimahSulaiman2016_LinearandNonlinearARXModel.pdf http://eprints.utm.my/id/eprint/71158/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971420411&doi=10.11113%2fjt.v78.5419&partnerID=40&md5=faf28c27cb0ce84cede7eb906c10014a |
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1643656121192284160 |
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13.211869 |