车用摆销链式CVT速比控制参数优化策略研究

Research on the Optimization Strategy of the Speed Ratio Control Parameter of Vehicle Swing Pin Chain CVT

速比控制是变速器控制领域的关键技术之一。通过分析摆销链式CVT的结构及工作原理,采用模糊PID控制方法对汽车行驶循环工况进行仿真;搭建CVT传动系统数学模型和速比模糊控制器子模型,基于Simulink/Cruise联合仿真软件平台对模糊控制进行仿真研究;最后,引入遗传算法对速比控制器控制规则进行参数优化,分别对汽车起步工况和循环工况速比跟踪控制策略进行验证。结果表明,基于遗传算法的速比模糊控制对目标速比的跟随效果及误差变化均优于传统的模糊PID控制方法,可满足摆销链式CVT速比控制的要求。

Speed ratio control is one of the key technologies in transmission control field.The fuzzy PID control method is adopted to simulate the automobile cycle working condition by analyzing the structure and working principle of the swing pin chain CVT,the mathematical model of the CVT transmission system and the sub-model of the speed ratio fuzzy controller are built.The fuzzy control is simulated based on the Simulink/Cruise co-simulation software platform.Finally,genetic algorithm is introduced to optimize the control rules of the speed ratio controller,and the speed ratio tracking strategies of the starting and cycling conditions are veri⁃fied respectively.The results show that the speed ratio fuzzy control based on genetic algorithm is better than the traditional fuzzy PID control method in the following effect and error variation of the target speed ratio,and meets the requirements of the swing pin chain CVT speed ratio control.