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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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/ |
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Local University |
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International Islamic University Malaysia |
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Online Access |
language |
English |
topic |
TJ Mechanical engineering and machinery |
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TJ Mechanical engineering and machinery Darsivan, Fadly Jashi Martono, Wahyudi Faris, Waleed Fekry Active engine mounting control algorithm using neural network |
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 |
author |
Darsivan, Fadly Jashi Martono, Wahyudi Faris, Waleed Fekry |
author_facet |
Darsivan, Fadly Jashi Martono, Wahyudi Faris, Waleed Fekry |
author_sort |
Darsivan, Fadly Jashi |
title |
Active engine mounting control algorithm using neural network
|
title_short |
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_sort |
active engine mounting control algorithm using neural network |
publisher |
IOS Press |
publishDate |
2009 |
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 |
first_indexed |
2023-09-18T20:17:08Z |
last_indexed |
2023-09-18T20:17:08Z |
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1777407862335602688 |