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.
Highlights
The mounting of an engine has basically three purposes, which are 1) to statically support the weight of the engine, 2) to prevent the engine from bouncing off the chassis during road disturbances and 3) to isolate the engine vibration to the chassis [1,2,3,4,5]
The comparison of conventional controller and artificial neural network (ANN) controller is presented and the results shows the superiority of the nonlinear autoregressive moving average (NARMA)-L2 controller in terms of disturbance rejection
The contradicting performance of the passive engine mounting system has led to the evolution of active engine mounting system which are able to reduce engine vibration effectively even at frequencies below the natural frequency
Summary
The mounting of an engine has basically three purposes, which are 1) to statically support the weight of the engine, 2) to prevent the engine from bouncing off the chassis during road disturbances and 3) to isolate the engine vibration to the chassis [1,2,3,4,5]. In this paper we are proposing the application of neural network in direct inverse control architecture for attenuating the engine vibration to the chassis. It wad reported in [19,20,21,22] that neural networks such as the nonlinear autoregressive moving average (NARMA) has the ability to be trained and be used as a controller of a dynamic system and disturbance rejection. Very little research focuses on the application of neural network such as NARMA-L2 neural controller in active engine mounting system It was reported by [30] that another neural network controller which is the Extended Minimal Resource Allocating Network (EMRAN) has shown a promising performance in attenuating the vibration induce by the engine to the chassis.
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