ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System
This work presents a self-tuning fuzzy PD controller for solving the control challenges of twin rotor MIMO system. The controller is made adaptive through output scaling factor adjustment of the updating factor, . The value of is calculated directly from a fuzzy rule base defined as error and chang...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2010
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/10937/ http://psasir.upm.edu.my/id/eprint/10937/1/ANFIS.pdf |
| _version_ | 1848841526394748928 |
|---|---|
| author | Mahmoud, Thair S. Marhaban, Mohammad Hamiruce Tang, Sai Hong |
| author_facet | Mahmoud, Thair S. Marhaban, Mohammad Hamiruce Tang, Sai Hong |
| author_sort | Mahmoud, Thair S. |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This work presents a self-tuning fuzzy PD controller for solving the control challenges of twin rotor MIMO system. The controller is made adaptive through output scaling factor adjustment of the updating factor, . The value of is calculated directly from a fuzzy rule base defined as error and change of error of the controlled variable. A combination of adaptive neural fuzzy inference system and fuzzy subtractive clustering method was used, where the objective was to improve its time response, while reducing its computational complexity. Simulation results show performance improvement in comparison with that of the previous method. Copyright © 2010 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
|
| first_indexed | 2025-11-15T07:44:38Z |
| format | Article |
| id | upm-10937 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T07:44:38Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-109372016-03-09T05:07:31Z http://psasir.upm.edu.my/id/eprint/10937/ ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System Mahmoud, Thair S. Marhaban, Mohammad Hamiruce Tang, Sai Hong This work presents a self-tuning fuzzy PD controller for solving the control challenges of twin rotor MIMO system. The controller is made adaptive through output scaling factor adjustment of the updating factor, . The value of is calculated directly from a fuzzy rule base defined as error and change of error of the controlled variable. A combination of adaptive neural fuzzy inference system and fuzzy subtractive clustering method was used, where the objective was to improve its time response, while reducing its computational complexity. Simulation results show performance improvement in comparison with that of the previous method. Copyright © 2010 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. 2010-05 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/10937/1/ANFIS.pdf Mahmoud, Thair S. and Marhaban, Mohammad Hamiruce and Tang, Sai Hong (2010) ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System. IEEJ Transactions on Electrical and Electronic Engineering, 5 (3). pp. 369-371. ISSN 1931-4981 10.1002/tee.20543 |
| spellingShingle | Mahmoud, Thair S. Marhaban, Mohammad Hamiruce Tang, Sai Hong ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System |
| title | ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System
|
| title_full | ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System
|
| title_fullStr | ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System
|
| title_full_unstemmed | ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System
|
| title_short | ANFIS: Self-tuning Fuzzy PD Controller for Twin Rotor MIMO System
|
| title_sort | anfis: self-tuning fuzzy pd controller for twin rotor mimo system |
| url | http://psasir.upm.edu.my/id/eprint/10937/ http://psasir.upm.edu.my/id/eprint/10937/ http://psasir.upm.edu.my/id/eprint/10937/1/ANFIS.pdf |