湖南大学学报（自然科学版）2012，Vol.39Issue(12)：37-42,6.
基于遗传算法的CVT夹紧力模糊-PID控制优化
Fuzzy-PID Controller Optimization of Clamping Force for CVT Based on Genetic Algorithm
摘要
Abstract
Aiming at improving the performance of clamping force control of metal V-belt Continuously Variable Transmission (CVT) , such as metal belt abrasion and low efficiency, a clamping force fuzzy-PID controller model was established. Considering the defect of fuzzy-PID controller, such as subjective, rough and imperfect, genetic algorithm was applied to off-line optimize both membership function and fuzzy rules. At last, road tests were done to verify the performance of the optimized fuzzy-PID controller. The test results have shown that the improved fuzzy-PID controller has a satisfactory effect on the clamping force control with better tracing precision and less steady state error. Additionally, the CVT's fuel economy was enhanced by reducing the safety factor of clamping force from 1. 3 down to 1. 24 on the basis of control precision.关键词
金属带式无级变速器/夹紧力控制/模糊-PID/遗传算法Key words
metal v-belt continuously variable transmission/clamping force control/fuzzy-PID/genetic algorithm分类
交通工程引用本文复制引用
薛殿伦,马洪涛,曹成龙,文敏..基于遗传算法的CVT夹紧力模糊-PID控制优化[J].湖南大学学报（自然科学版）,2012,39(12):37-42,6.基金项目
湖南省自然科学基金资助项目(10JJ5052) （10JJ5052）
