Active Engine Mounting Control Algorithm Using Neural Network
This paper proposes the application of neural network as a controller to isolate engine vibration in an active engine mounting system. It has been shown that the NARMA-L2 neurocontroller has the ability to reject disturbances from a plant. The disturbance is assumed to be both impulse and sinusoidal...
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Format: | Article |
Language: | English |
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Wiley
2009-01-01
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Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.3233/SAV-2009-0478 |
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author | Fadly Jashi Darsivan Wahyudi Martono Waleed F. Faris |
author_facet | Fadly Jashi Darsivan Wahyudi Martono Waleed F. Faris |
author_sort | Fadly Jashi Darsivan |
collection | DOAJ |
description | This paper proposes the application of neural network as a controller to isolate engine vibration in an active engine mounting system. It has been shown that the NARMA-L2 neurocontroller has the ability to reject disturbances from a plant. The disturbance is assumed to be both impulse and sinusoidal disturbances that are induced by the engine. The performance of the neural network controller is compared with conventional PD and PID controllers tuned using Ziegler-Nichols. From the result simulated the neural network controller has shown better ability to isolate the engine vibration than the conventional controllers. |
format | Article |
id | doaj-art-13edba1aab41415c9e439c56cf922a21 |
institution | Kabale University |
issn | 1070-9622 1875-9203 |
language | English |
publishDate | 2009-01-01 |
publisher | Wiley |
record_format | Article |
series | Shock and Vibration |
spelling | doaj-art-13edba1aab41415c9e439c56cf922a212025-02-03T06:42:20ZengWileyShock and Vibration1070-96221875-92032009-01-0116441743710.3233/SAV-2009-0478Active Engine Mounting Control Algorithm Using Neural NetworkFadly Jashi Darsivan0Wahyudi Martono1Waleed F. Faris2Department of Mechanical Engineering, International Islamic University, Kuala Lumpur, MalaysiaDepartment of Mechatronics, International Islamic University, Kuala Lumpur, MalaysiaDepartment of Mechanical Engineering, International Islamic University, Kuala Lumpur, MalaysiaThis paper proposes the application of neural network as a controller to isolate engine vibration in an active engine mounting system. It has been shown that the NARMA-L2 neurocontroller has the ability to reject disturbances from a plant. The disturbance is assumed to be both impulse and sinusoidal disturbances that are induced by the engine. The performance of the neural network controller is compared with conventional PD and PID controllers tuned using Ziegler-Nichols. From the result simulated the neural network controller has shown better ability to isolate the engine vibration than the conventional controllers.http://dx.doi.org/10.3233/SAV-2009-0478 |
spellingShingle | Fadly Jashi Darsivan Wahyudi Martono Waleed F. Faris Active Engine Mounting Control Algorithm Using Neural Network Shock and Vibration |
title | Active Engine Mounting Control Algorithm Using Neural Network |
title_full | Active Engine Mounting Control Algorithm Using Neural Network |
title_fullStr | Active Engine Mounting Control Algorithm Using Neural Network |
title_full_unstemmed | Active Engine Mounting Control Algorithm Using Neural Network |
title_short | Active Engine Mounting Control Algorithm Using Neural Network |
title_sort | active engine mounting control algorithm using neural network |
url | http://dx.doi.org/10.3233/SAV-2009-0478 |
work_keys_str_mv | AT fadlyjashidarsivan activeenginemountingcontrolalgorithmusingneuralnetwork AT wahyudimartono activeenginemountingcontrolalgorithmusingneuralnetwork AT waleedffaris activeenginemountingcontrolalgorithmusingneuralnetwork |