Nano Science and Technology Institute
MSM 2000
MSM 2000
Technical Proceedings of the 2000 International Conference on Modeling and Simulation of Microsystems
 
Chapter 11: Numerics, Algorithms
 

Closed-Loop, Neural Network Controlled Accelerometer Design

Authors:E.I. Gaura, N. Ferreira, R.J. Rider and N. Steele
Affilation:Coventry University, UK
Pages:513 - 516
Keywords:micromachined accelerometer, neural network, model reference control
Abstract:In this paper, a closed-loop, smart transducer design is proposed, based on artificial neural network (ANN) techniques. The design aims to improve the performance of open-loop, off-the-shelf capacitive acceleration sensors and increase their robustness to manufacturing tolerances. A 'model reference' control strategy was adopted for the design of the smart transducer. Multilayer perceptron (MLP) type networks were chosen for implementing the control strategy. While a static MLP was used for the feedback arrangement, a tap delayed lines MLP was necessary for implementing the controller due to the dynamic nonlinear behaviour exhibited by the sensing device. A dynamic version of the back-error propagation algorithm was used for training the networks. The resulting closed-loop transducer had a dynamic range of ±10g and a stable behaviour for input stimuli up to ±100g.
Closed-Loop, Neural Network Controlled Accelerometer DesignView PDF of paper
ISBN:0-9666135-7-0
Pages:741
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