The University of Southampton
University of Southampton Institutional Repository

VHDL-AMS Based Genetic Optimization of Mixed-Physical-Domain Systems in Automotive Applications

VHDL-AMS Based Genetic Optimization of Mixed-Physical-Domain Systems in Automotive Applications
VHDL-AMS Based Genetic Optimization of Mixed-Physical-Domain Systems in Automotive Applications
This paper presents a VHDL-AMS based genetic optimization methodology suitable for performance improvement of hardware systems in automotive applications. Models of such systems are mixed-signal (analog and digital) in which the analog parts cover mixed physical domains. A case study applying this novel method to the fuzzy logic controller (FLC) optimization in an automotive active suspension system (AASS) has been investigated. A new type of fuzzy logic membership functions with variable geometrical shapes has been proposed and optimized. In this optimization technique, VHDL-AMS is used not only for the modeling and simulation of the FLC and its underlying AASS but also for the implementation of a parallel genetic algorithm (GA). This has resulted in an integrated performance optimization system wholly implemented in the hardware description language (HDL). Results show that the proposed FLC has superior performance to that of existing FLCs that use fixed-shape membership functions.
661-670
Wang, LR
3e54591b-df4a-44cc-a917-efd40831c299
Kazmierski, TJ
a97d7958-40c3-413f-924d-84545216092a
Wang, LR
3e54591b-df4a-44cc-a917-efd40831c299
Kazmierski, TJ
a97d7958-40c3-413f-924d-84545216092a

Wang, LR and Kazmierski, TJ (2009) VHDL-AMS Based Genetic Optimization of Mixed-Physical-Domain Systems in Automotive Applications. Simulation: Transactions of the Society for Modeling and Simulation International, 85, 661-670.

Record type: Article

Abstract

This paper presents a VHDL-AMS based genetic optimization methodology suitable for performance improvement of hardware systems in automotive applications. Models of such systems are mixed-signal (analog and digital) in which the analog parts cover mixed physical domains. A case study applying this novel method to the fuzzy logic controller (FLC) optimization in an automotive active suspension system (AASS) has been investigated. A new type of fuzzy logic membership functions with variable geometrical shapes has been proposed and optimized. In this optimization technique, VHDL-AMS is used not only for the modeling and simulation of the FLC and its underlying AASS but also for the implementation of a parallel genetic algorithm (GA). This has resulted in an integrated performance optimization system wholly implemented in the hardware description language (HDL). Results show that the proposed FLC has superior performance to that of existing FLCs that use fixed-shape membership functions.

Full text not available from this repository.

More information

Published date: 2009
Additional Information: Imported from ISI Web of Science
Organisations: EEE

Identifiers

Local EPrints ID: 270230
URI: https://eprints.soton.ac.uk/id/eprint/270230
PURE UUID: 2a2ece83-1a2b-4d6f-8c69-c9907ef2975a

Catalogue record

Date deposited: 21 Apr 2010 07:46
Last modified: 16 Jul 2019 22:20

Export record

Contributors

Author: LR Wang
Author: TJ Kazmierski

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×