基于修正因子智能权函数的汽车ABS模糊控制算法仿真研究  

Simulation Research on Algorithms of Automobile ABS Fuzzy Control Based on Correction Factor and Intelligent Weight Functions

作　　者：李劲松 金志扬[1] 

机构地区：[1]海南大学机电工程学院,儋州571737

出　　处：《汽车科技》2010年第3期55-57,共3页Auto Sci-Tech

基　　金：海南大学科技基金项目(Rnd0625)

摘　　要：根据汽车ABS相关知识和模糊控制理论,建立了基于修正因子智能权函数的模糊控制算法,利用Matlab建立了ABS模糊控制总模型及模糊控制器模型,对其进行仿真。结果显示,基于修正因子智能权函数的控制算法能使车轮的附着系数在最大附着系数附近微小波动,最佳的利用路面的附着潜力,故此控制算法的制动效果较好。On the basis of the knowledge related to automobile ABS and fuzzy control establish algorithms of fuzzy control via correction factor and intelligent weight functions. By taking advantage of roatlab toolbox,ABS general model of fuzzy control and model of fuzzy control algorithm is designed and then the stimulation is carried on. From the stimulation results, we learn that the wheels attached to the maximum coefficient of friction coefficient near the small fluctuations, best use of the potential of road adhesion based on correction factor and intelligent weight functions, so that effective in control.

关 键 词：汽车防抱死制动系统 修正因子 智能权函数 模糊控制 仿真 

分 类 号：U461.3[机械工程—车辆工程]