ANFIS modeling of electro-hydraulic actuator system
Precise control of electro-hydraulic actuator (EHA) system has been an interesting subject due to its nonlinearities and uncertainties characteristics. Good control can be designed when precise model of the system is available. ANFIS (Adaptive Neuro-Fuzzy Inference System) modeling technique has pro...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2012
|
| Subjects: |
| _version_ | 1796857354175643648 |
|---|---|
| author | Ling, T. G. Rahmat, Mohd. Fua'ad Husain, A. R. |
| author_facet | Ling, T. G. Rahmat, Mohd. Fua'ad Husain, A. R. |
| author_sort | Ling, T. G. |
| collection | ePrints |
| description | Precise control of electro-hydraulic actuator (EHA) system has been an interesting subject due to its nonlinearities and uncertainties characteristics. Good control can be designed when precise model of the system is available. ANFIS (Adaptive Neuro-Fuzzy Inference System) modeling technique has proven to be able to model various nonlinear systems. The objective of this paper is to obtain an ANFIS model from EHA system stimulus-response data. The prediction ability of ANFIS is also tested using limited data set for model training. Results show that ANFIS model is able to estimate nonlinear EHA system with high precision, even when training data provided is limited. |
| first_indexed | 2024-03-05T18:56:25Z |
| format | Conference or Workshop Item |
| id | utm.eprints-34385 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:56:25Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | utm.eprints-343852017-09-10T06:02:56Z http://eprints.utm.my/34385/ ANFIS modeling of electro-hydraulic actuator system Ling, T. G. Rahmat, Mohd. Fua'ad Husain, A. R. TK Electrical engineering. Electronics Nuclear engineering Precise control of electro-hydraulic actuator (EHA) system has been an interesting subject due to its nonlinearities and uncertainties characteristics. Good control can be designed when precise model of the system is available. ANFIS (Adaptive Neuro-Fuzzy Inference System) modeling technique has proven to be able to model various nonlinear systems. The objective of this paper is to obtain an ANFIS model from EHA system stimulus-response data. The prediction ability of ANFIS is also tested using limited data set for model training. Results show that ANFIS model is able to estimate nonlinear EHA system with high precision, even when training data provided is limited. 2012 Conference or Workshop Item PeerReviewed Ling, T. G. and Rahmat, Mohd. Fua'ad and Husain, A. R. (2012) ANFIS modeling of electro-hydraulic actuator system. In: Conference. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Ling, T. G. Rahmat, Mohd. Fua'ad Husain, A. R. ANFIS modeling of electro-hydraulic actuator system |
| title | ANFIS modeling of electro-hydraulic actuator system |
| title_full | ANFIS modeling of electro-hydraulic actuator system |
| title_fullStr | ANFIS modeling of electro-hydraulic actuator system |
| title_full_unstemmed | ANFIS modeling of electro-hydraulic actuator system |
| title_short | ANFIS modeling of electro-hydraulic actuator system |
| title_sort | anfis modeling of electro hydraulic actuator system |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT lingtg anfismodelingofelectrohydraulicactuatorsystem AT rahmatmohdfuaad anfismodelingofelectrohydraulicactuatorsystem AT husainar anfismodelingofelectrohydraulicactuatorsystem |