Shock and Vibration

Shock and Vibration / 2009 / Article

Open Access

Volume 16 |Article ID 257480 | 21 pages | https://doi.org/10.3233/SAV-2009-0478

Active Engine Mounting Control Algorithm Using Neural Network

Received17 Aug 2007
Revised15 Jun 2008

Abstract

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.

Copyright © 2009 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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