Authors: E. Gaura and M. Kraft
Affilation: Coventry University, United Kingdom
Pages: 100 - 103
Keywords: tunneling accelerometers, sigma-delta modulator, artificial neural networks
This paper presents system level modelling and simulations results of two closed loop, force-feedback control strategies for micromachined tunnelling accelerometers. The first approach is based on the incorporation of the sensing element in a sigma-delta modulator loop. The second strategy relies on two artificial neural networks (ANN) for both controlling the sensor and linearising the feedback loop. Both approaches have their merits and disadvantages. The former results in a direct digital sensor but it may prove problematic to achieve sufficiently high signal to quantisation noise rations. The latter requires the use of an analogue to digital converter (at the output of the pick-off circuit) but has the advantage of achieving better measurement linearity.
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