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Shock and Vibration
Volume 16, Issue 4, Pages 417-437

Active Engine Mounting Control Algorithm Using Neural Network

Fadly Jashi Darsivan,1 Wahyudi Martono,2 and Waleed F. Faris1

1Department of Mechanical Engineering, International Islamic University, Kuala Lumpur, Malaysia
2Department of Mechatronics, International Islamic University, Kuala Lumpur, Malaysia

Received 17 August 2007; Revised 15 June 2008

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.


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.