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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Main Authors: Fadly Jashi Darsivan, Wahyudi Martono, Waleed F. Faris
Format: Article
Language:English
Published: Wiley 2009-01-01
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