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Automated performance optimisation and layout synthesis of MEMS accelerometer with sigma-delta force-feedback control loop

Automated performance optimisation and layout synthesis of MEMS accelerometer with sigma-delta force-feedback control loop
Automated performance optimisation and layout synthesis of MEMS accelerometer with sigma-delta force-feedback control loop
This contribution presents a novel methodology for automated optimal design of a MEMS accelerometer with Sigma-Delta force-feedback control loop from user defined high-level performance specifications and design constraints. The proposed approach is based on a simulation-based optimization technology using a genetic algorithm. The layout of the mechanical sensing element is generated simultaneously with the optimal design parameters of the Sigma-Delta control loop. As currently available implementations of AMS HDL languages are not suitable for complex mixed-technology system optimisation, the algorithm as well as aa fast dedicated sigma-delta accelerometer simulator have been implemented in C++. The underlying accelerometer model includes the sense finger dynamics described by a partial differential equation, which enables accurate performance prediction of the sensing element embedded in a in mixed-technology control loop.
19-24
IEEE
Zhao, Chenxu
87d1aa10-ef41-44bc-8969-82626aa1dd92
Kazmierski, T.J.
a97d7958-40c3-413f-924d-84545216092a
Zhao, Chenxu
87d1aa10-ef41-44bc-8969-82626aa1dd92
Kazmierski, T.J.
a97d7958-40c3-413f-924d-84545216092a

Zhao, Chenxu and Kazmierski, T.J. (2008) Automated performance optimisation and layout synthesis of MEMS accelerometer with sigma-delta force-feedback control loop. In 2008 IEEE International Behavioral Modeling and Simulation Workshop. IEEE. pp. 19-24 . (doi:10.1109/BMAS.2008.4751233).

Record type: Conference or Workshop Item (Paper)

Abstract

This contribution presents a novel methodology for automated optimal design of a MEMS accelerometer with Sigma-Delta force-feedback control loop from user defined high-level performance specifications and design constraints. The proposed approach is based on a simulation-based optimization technology using a genetic algorithm. The layout of the mechanical sensing element is generated simultaneously with the optimal design parameters of the Sigma-Delta control loop. As currently available implementations of AMS HDL languages are not suitable for complex mixed-technology system optimisation, the algorithm as well as aa fast dedicated sigma-delta accelerometer simulator have been implemented in C++. The underlying accelerometer model includes the sense finger dynamics described by a partial differential equation, which enables accurate performance prediction of the sensing element embedded in a in mixed-technology control loop.

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Published date: 2008
Additional Information: Imported from ISI Web of Science
Venue - Dates: 2008 IEEE International Behavioral Modeling and Simulation Workshop, 2008-01-01
Organisations: EEE

Identifiers

Local EPrints ID: 269752
URI: https://eprints.soton.ac.uk/id/eprint/269752
PURE UUID: f386d4ad-7506-4815-b80c-956efff96567

Catalogue record

Date deposited: 21 Apr 2010 07:46
Last modified: 19 Jul 2019 16:58

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Contributors

Author: Chenxu Zhao
Author: T.J. Kazmierski

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