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VHDL-AMS based genetic optimization of a fuzzy logic controller for automotive active suspension systems

Record type: Conference or Workshop Item (Paper)

This paper presents a new type of fuzzy logic controller (FLC) membership functions for automotive active suspension systems. The shapes of the membership functions are irregular and optimized using a genetic algorithm (GA). In this optimization technique, VHDL-AMS is used not only for the modeling and simulation of the fuzzy logic controller and its underlying active suspension system but also for the implementation of a parallel GA. Simulation results show that the proposed FLC has superior performance to that of existing FLCs that use triangular or trapezoidal membership functions.

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Citation

Wang, Leran and Kazmierski, Tom (2005) VHDL-AMS based genetic optimization of a fuzzy logic controller for automotive active suspension systems At IEEE international conference on Behavioral Modeling and Simulation (BMAS 2005). 22 - 23 Sep 2005. , pp. 124-127.

More information

Published date: 2005
Additional Information: Event Dates: 22-23 September, 2005
Venue - Dates: IEEE international conference on Behavioral Modeling and Simulation (BMAS 2005), 2005-09-22 - 2005-09-23
Organisations: EEE

Identifiers

Local EPrints ID: 263696
URI: http://eprints.soton.ac.uk/id/eprint/263696
PURE UUID: 66c4d279-890a-4ffa-b2d7-e3d68a6e924d

Catalogue record

Date deposited: 14 Mar 2007
Last modified: 18 Jul 2017 07:42

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Contributors

Author: Leran Wang
Author: Tom Kazmierski

University divisions


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