计算机与现代化Issue(1)：37-41,5.DOI:10.3969/j.issn.1006-2475.2014.01.009
基于自适应遗传算法的半主动悬架模糊控制研究
Research on Semi-active Suspension Fuzzy Control Based on Adaptive GA
胡启国 1张娇 1魏朝阳 1潘云伟1
作者信息
- 1. 重庆交通大学机电与汽车工程学院，重庆 400074
- 折叠
摘要
Abstract
The correct choice of the fuzzy rules is the key and difficult in fuzzy controller design , this paper applies an genetic algo-rithm that can adaptively select crossover probability and mutation probability .RMS value of the body vertical acceleration are opti-mization goals, the car semi-active suspension fuzzy control rules are optimized , to improve the semi-active suspension control effect of the fuzzy controller , to achieve the purpose of improving vehicle ride comfort .To demonstrate the feasibility of this optimization , applying an optimized fuzzy control method based on improved genetic algorithm , a vehicle semi-active suspension is controlled and an associated simulation model is established using Matlab code and Simulink diagram .Simulation results show that optimized semi-active suspension body vertical acceleration RMS values are significantly reduced , the car ride comfort is improved .关键词
模糊控制器/车身垂直加速度均方根值/半主动悬架系统/控制规则优化Key words
fuzzy controller/body vertical acceleration RMS/semi-active suspension/control rules optimize分类
信息技术与安全科学引用本文复制引用
胡启国,张娇,魏朝阳,潘云伟..基于自适应遗传算法的半主动悬架模糊控制研究[J].计算机与现代化,2014,(1):37-41,5.
