Active engine mounting control algorithm using neural network

Article type: Research Article

Authors: Darsivan, Fadly Jashi | Martono, Wahyudi | Faris, Waleed F.

Affiliations: Department of Mechanical Engineering, International Islamic University, Kuala Lumpur, Malaysia | Department of Mechatronics, International Islamic University, Kuala Lumpur, Malaysia

Note: [] Corresponding author. E-mail: waleed@iiu.edu.my

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.

Keywords: Neural network, NARMA-L2, vibration isolation, conventional controller

DOI: 10.3233/SAV-2009-0478

Journal: Shock and Vibration, vol. 16, no. 4, pp. 417-437, 2009