ANFIS active vibration control of flexible beam structures
This paper presents the development of an adaptive neuro-fuzzy inference system (ANFIS) controller for vibration control of flexible beam structures. ANFIS constructs a fuzzy inference system (FIS) whose membership function parameters are tuned (adjusted) using the backpropagation algorithm and leas...
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| Format: | Book Section |
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ASME
2004
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| _version_ | 1796855148757123072 |
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| author | Mohd. Hashim, Siti zaiton Tokhi, Mohammad Osman |
| author_facet | Mohd. Hashim, Siti zaiton Tokhi, Mohammad Osman |
| author_sort | Mohd. Hashim, Siti zaiton |
| collection | ePrints |
| description | This paper presents the development of an adaptive neuro-fuzzy inference system (ANFIS) controller for vibration control of flexible beam structures. ANFIS constructs a fuzzy inference system (FIS) whose membership function parameters are tuned (adjusted) using the backpropagation algorithm and least squares method. This allows the fuzzy system to learn from the data modeling. To allow the non-linear dynamics of the system be incorporated within the design, a pseudo random binary signal (PRBS) covering the dynamic range of interest of the system is used to train the ANFIS model, which gives good output prediction. Simulation results showing the performance of the developed control scheme in vibration suppression of flexible beam structures, with changes in the excitation signal, are presented and discussed. |
| first_indexed | 2024-03-05T18:24:23Z |
| format | Book Section |
| id | utm.eprints-12851 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:24:23Z |
| publishDate | 2004 |
| publisher | ASME |
| record_format | dspace |
| spelling | utm.eprints-128512017-10-04T04:50:36Z http://eprints.utm.my/12851/ ANFIS active vibration control of flexible beam structures Mohd. Hashim, Siti zaiton Tokhi, Mohammad Osman TA Engineering (General). Civil engineering (General) This paper presents the development of an adaptive neuro-fuzzy inference system (ANFIS) controller for vibration control of flexible beam structures. ANFIS constructs a fuzzy inference system (FIS) whose membership function parameters are tuned (adjusted) using the backpropagation algorithm and least squares method. This allows the fuzzy system to learn from the data modeling. To allow the non-linear dynamics of the system be incorporated within the design, a pseudo random binary signal (PRBS) covering the dynamic range of interest of the system is used to train the ANFIS model, which gives good output prediction. Simulation results showing the performance of the developed control scheme in vibration suppression of flexible beam structures, with changes in the excitation signal, are presented and discussed. ASME 2004 Book Section PeerReviewed Mohd. Hashim, Siti zaiton and Tokhi, Mohammad Osman (2004) ANFIS active vibration control of flexible beam structures. In: ASME 7th Biennial Conference on Engineering Systems Design and Analysis (ESDA2004). ASME, pp. 747-752. ISBN 0-7918-4173-1 doi:10.1115/ESDA2004-58204 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Mohd. Hashim, Siti zaiton Tokhi, Mohammad Osman ANFIS active vibration control of flexible beam structures |
| title | ANFIS active vibration control of flexible beam structures |
| title_full | ANFIS active vibration control of flexible beam structures |
| title_fullStr | ANFIS active vibration control of flexible beam structures |
| title_full_unstemmed | ANFIS active vibration control of flexible beam structures |
| title_short | ANFIS active vibration control of flexible beam structures |
| title_sort | anfis active vibration control of flexible beam structures |
| topic | TA Engineering (General). Civil engineering (General) |
| work_keys_str_mv | AT mohdhashimsitizaiton anfisactivevibrationcontrolofflexiblebeamstructures AT tokhimohammadosman anfisactivevibrationcontrolofflexiblebeamstructures |