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 | 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, United Kingdom | | 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. |  | View paper | | ISBN: | 0-9666135-7-0 |
| Pages: | 741 |
| Hardcopy: | $100.00 |
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