Paper Title:
Optimization of Fuzzy Logic Rules Based on Improved Genetic Algorithm
  Abstract

This paper completes a full car semi-active suspension system model, using improved genetic algorithm approach to optimize the fuzzy logic rules and the co-simulation were carried out in the environment of Matlab/Simulink. The results of being compared with the passive suspension demonstrate is that this developed fuzzy logic controller based on genetic algorithm enhances the performance of the full car suspension system significantly.

  Info
Periodical
Edited by
Ran Chen
Pages
1496-1499
DOI
10.4028/www.scientific.net/AMM.44-47.1496
Citation
R. Z. Gao, Z. Q. Xu, J. J. Zhang, "Optimization of Fuzzy Logic Rules Based on Improved Genetic Algorithm", Applied Mechanics and Materials, Vols. 44-47, pp. 1496-1499, 2011
Online since
December 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Jun Zhang, Kan Yu Zhang
Chapter 19: Modeling, Analysis, and Simulation of Manufacturing Processes II
Abstract:Good dynamic performance of a system have great significance in the traditional sense, furthermore,it is more important at the point of...
4768
Authors: Hua Chao Zhao, Ying Nan, Liang Xian Gu
Chapter 2: Manufacturing and Control Systems, Industry Application
Abstract:The inverse design of air-to-air missile system was researched according to its target performance database. Firstly the initial model and...
302
Authors: Jacek Snamina, Paweł Orkisz
Chapter 2: Active Vibration Control
Abstract:The paper presents active and semi-active vibration reduction systems applying sliding mode control systems. Calculations were completed for...
93