基于粒子群算法的动力升档换档品质优化控制  

Optimization Control of Power-On Shifting Quality Based on PSO Algorithm

作　　者：李兴忠[1,2] 宋斌[1] 童燕华[1] 陈钰尘[1] 付尧[2] 

机构地区：[1]杭州前进齿轮箱集团股份有限公司,杭州311203 [2]吉林大学汽车仿真与控制国家重点实验室,长春130022

出　　处：《传动技术》2016年第1期9-13,共5页Drive System Technique

基　　金：浙江省博士后科研项目择优资助项目(BSH1502066)

摘　　要：通过分析动力换档过程离合器切换时序控制不当对换档品质产生影响的问题,针对该问题采用粒子群优化算法,以理想换档过程的换档品质客观评价模型为基础构建适应度函数,提出了动力升档过程的控制量最优化控制策略,仿真结果表明了该控制策略在提高升档过程的换档品质方面效果明显。Through analyzing the process of power-on shifting based on the dynamic model of clutch to clutch, the main factors affecting shift quality is the improper switch sequential control of clutches. An new algorithm is proposed on the basis of the Particle Swarm Optimization （PSO） algorithm according to this problem. An optimization control strategy is proposed for power-on upshift, which building a fitting function based on the shift quality evaluation model during perfect shifting process. The simulation results show that the application of the optimized control strategy had obvious effect on improving the shift quality during the power-on shifting.

关 键 词：动力换档 换档品质 适应度函数 控制策略 粒子群算法 

分 类 号：U463.212[机械工程—车辆工程]