Analysis of the error generated by the voltage output accelerometer using the optimal structure of an artificial neural network

The paper presents an analysis of the upper bound of the dynamic error generated by voltage output accelerometer by using an artificial neural network. The integral-square error criterion was assumed as objective function for the above analysis. The relations for determining the above error were presented and also it was shown that after reaching the steady-state of impulse response of the accelerometer, the relationship between the integral-square error and time is linear. Relationship between the linear equation coefficients on two selected parameters of the mathematical model of accelerometer were determined for the range of this sensor work which is mentioned above. These relations were obtained by polynomial regression which optimal order was determined by means of artificial neural network.