基于粒计算优化的DCT车辆起步离合器模糊控制  

Modified fuzzy control with granular computing for DCT vehicle launching clutch control

作　　者：孔慧芳[1] 徐超[1] 鲍伟[1] 尹良杰[2] 

机构地区：[1]合肥工业大学电气与自动化工程学院,安徽合肥230009 [2]安徽江淮汽车股份有限公司技术中心,安徽合肥230601

出　　处：《合肥工业大学学报（自然科学版）》2015年第10期1324-1327,1362,共5页Journal of Hefei University of Technology：Natural Science

基　　金：国家高技术研究发展计划(863计划)资助项目(2012AA111711)

摘　　要：文章针对模糊控制技术中模糊规则冗余致使控制系统复杂性增加的问题,提出了一种基于粒计算优化的模糊控制方法,即使用邻域作为粒计算的表达,并以规则覆盖度和置信度作为启发信息,对模糊规则进行提取,简化模糊控制器,并能满足控制要求。Matlab/Simulink仿真结果表明,该方法应用于DCT(dual-clutches transmission)车辆起步过程的离合器控制时,可以减少起步模糊规则的数量,提高控制的实时性,满足车辆起步平稳、快捷的要求。In this paper, a modified fuzzy control method with granular computing is proposed for the problem that redundant fuzzy rules of fuzzy controller increase the control system complexity. Fuzzy rules are extracted by using neighborhood as the granular computing expression, the rule coverage and confidence level both as the heuristic information. Then the fuzzy controller can be simplified and the control requirements can be satisfied. The Matlab/Simulink simulation results show that the proposed method applied to controlling dual-clutches transmission（DCT） clutch in vehicle starting process can not only reduce the fuzzy rules quantity, but also improve the real-time property, so the vehicle can start smoothly and fast.

关 键 词：粒计算 规则提取 模糊控制 DCT起步 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]