System identification of electro-hydraulic actuator system using ANFIS approach
Precise control of an electro-hydraulic actuator (EHA) system has been an interesting subject due to its nonlinearities and uncertainties characteristics. Suitable controller can be designed when the precise model of the system is available. Adaptive Neuro-Fuzzy Inference System (ANFIS) modeling tec...
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my.utm.628012017-11-01T04:17:09Z http://eprints.utm.my/id/eprint/62801/ System identification of electro-hydraulic actuator system using ANFIS approach Ling, T. G. Rahmat, Mohd. Fua'ad Husain, A. R. TK Electrical engineering. Electronics Nuclear engineering Precise control of an electro-hydraulic actuator (EHA) system has been an interesting subject due to its nonlinearities and uncertainties characteristics. Suitable controller can be designed when the precise model of the system is available. Adaptive Neuro-Fuzzy Inference System (ANFIS) modeling technique has proven can model various nonlinear systems at high accuracy. The objective of this paper is to obtain an ANFIS model from EHA system stimulus-response data with less complicated model structure and fewer system parameters. The validation of ANFIS model is done using various data sets which contain different operating region and limited data set, where data set is reduced to small operating region. Results show that ANFIS model can estimate the response nonlinear EHA system with more than 97% high best-fitting accuracy, with simple structure, under different operating region condition. Penerbit UTM Press 2014 Article PeerReviewed Ling, T. G. and Rahmat, Mohd. Fua'ad and Husain, A. R. (2014) System identification of electro-hydraulic actuator system using ANFIS approach. Jurnal Teknologi (Sciences and Engineering), 67 (5). pp. 41-47. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v67.2841 DOI:10.11113/jt.v67.2841 |
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TK Electrical engineering. Electronics Nuclear engineering Ling, T. G. Rahmat, Mohd. Fua'ad Husain, A. R. System identification of electro-hydraulic actuator system using ANFIS approach |
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Precise control of an electro-hydraulic actuator (EHA) system has been an interesting subject due to its nonlinearities and uncertainties characteristics. Suitable controller can be designed when the precise model of the system is available. Adaptive Neuro-Fuzzy Inference System (ANFIS) modeling technique has proven can model various nonlinear systems at high accuracy. The objective of this paper is to obtain an ANFIS model from EHA system stimulus-response data with less complicated model structure and fewer system parameters. The validation of ANFIS model is done using various data sets which contain different operating region and limited data set, where data set is reduced to small operating region. Results show that ANFIS model can estimate the response nonlinear EHA system with more than 97% high best-fitting accuracy, with simple structure, under different operating region condition. |
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Article |
author |
Ling, T. G. Rahmat, Mohd. Fua'ad Husain, A. R. |
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Ling, T. G. Rahmat, Mohd. Fua'ad Husain, A. R. |
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Ling, T. G. |
title |
System identification of electro-hydraulic actuator system using ANFIS approach |
title_short |
System identification of electro-hydraulic actuator system using ANFIS approach |
title_full |
System identification of electro-hydraulic actuator system using ANFIS approach |
title_fullStr |
System identification of electro-hydraulic actuator system using ANFIS approach |
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System identification of electro-hydraulic actuator system using ANFIS approach |
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system identification of electro-hydraulic actuator system using anfis approach |
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Penerbit UTM Press |
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2014 |
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http://eprints.utm.my/id/eprint/62801/ http://dx.doi.org/10.11113/jt.v67.2841 |
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