VHDL-AMS based genetic optimization of a fuzzy logic controller for automotive active suspension systems
VHDL-AMS based genetic optimization of a fuzzy logic controller for automotive active suspension systems
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.
124-127
Wang, Leran
91d2f4ca-ed47-4e47-adff-70fef3874564
Kazmierski, Tom
a97d7958-40c3-413f-924d-84545216092a
2005
Wang, Leran
91d2f4ca-ed47-4e47-adff-70fef3874564
Kazmierski, Tom
a97d7958-40c3-413f-924d-84545216092a
Wang, Leran and Kazmierski, Tom
(2005)
VHDL-AMS based genetic optimization of a fuzzy logic controller for automotive active suspension systems.
IEEE international conference on Behavioral Modeling and Simulation (BMAS 2005), San José, California.
22 - 23 Sep 2005.
.
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Abstract
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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BMAS2005_37.pdf
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Published date: 2005
Additional Information:
Event Dates: 22-23 September, 2005
Venue - Dates:
IEEE international conference on Behavioral Modeling and Simulation (BMAS 2005), San José, California, 2005-09-22 - 2005-09-23
Organisations:
EEE
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Local EPrints ID: 263696
URI: http://eprints.soton.ac.uk/id/eprint/263696
PURE UUID: 66c4d279-890a-4ffa-b2d7-e3d68a6e924d
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Date deposited: 14 Mar 2007
Last modified: 14 Mar 2024 07:36
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Author:
Tom Kazmierski
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