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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Bibliographic Details
Published in:Shock and vibration 2009-01, Vol.16 (4), p.417-437
Main Authors: Fadly Jashi Darsivan, Wahyudi Martono, Waleed F. Faris
Format: Article
Language:English
Online Access:Get full text
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Summary: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.
ISSN:1070-9622
1875-9203
DOI:10.3233/SAV-2009-0478