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 sinusoid...

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Main Authors: Darsivan, Fadly Jashi, Martono, Wahyudi, Faris, Waleed Fekry
Format: Article
Language:English
Published: IOS Press 2009
Subjects:
Online Access:http://irep.iium.edu.my/7637/
http://irep.iium.edu.my/7637/1/Active_engine_mounting_control_algorithm.pdf
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author Darsivan, Fadly Jashi
Martono, Wahyudi
Faris, Waleed Fekry
author_facet Darsivan, Fadly Jashi
Martono, Wahyudi
Faris, Waleed Fekry
author_sort Darsivan, Fadly Jashi
building IIUM Repository
collection Online Access
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.
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format Article
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institution International Islamic University Malaysia
institution_category Local University
language English
last_indexed 2025-11-14T14:37:08Z
publishDate 2009
publisher IOS Press
recordtype eprints
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spelling iium-76372017-06-22T07:37:39Z http://irep.iium.edu.my/7637/ Active engine mounting control algorithm using neural network Darsivan, Fadly Jashi Martono, Wahyudi Faris, Waleed Fekry TJ Mechanical engineering and machinery 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. IOS Press 2009 Article PeerReviewed application/pdf en http://irep.iium.edu.my/7637/1/Active_engine_mounting_control_algorithm.pdf Darsivan, Fadly Jashi and Martono, Wahyudi and Faris, Waleed Fekry (2009) Active engine mounting control algorithm using neural network. Shock and Vibration, 16. pp. 417-437. ISSN 1070-9622 http://iospress.metapress.com/content/mjxx77883132761g/
spellingShingle TJ Mechanical engineering and machinery
Darsivan, Fadly Jashi
Martono, Wahyudi
Faris, Waleed Fekry
Active engine mounting control algorithm using neural network
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
topic TJ Mechanical engineering and machinery
url http://irep.iium.edu.my/7637/
http://irep.iium.edu.my/7637/
http://irep.iium.edu.my/7637/1/Active_engine_mounting_control_algorithm.pdf