基于遗传优化模糊PID高压共轨系统喷油量的控制算法  

Research on Control Algorithms of High Pressure Common-rail System Injection Quantity Based on the Genetic Algorithms Optimize Fuzzy PID Control

作　　者：王国超[1] 吴庆林 

机构地区：[1]重庆理工大学重庆汽车学院,重庆400054 [2]重庆红江机械有限责任公司,重庆402162

出　　处：《重庆理工大学学报（自然科学）》2012年第11期17-22,共6页Journal of Chongqing University of Technology：Natural Science

基　　金：重庆市重点科技攻关项目(CSTC;2009AB3241)

摘　　要：根据高压共轨燃油喷射系统的物理结构和工作原理,建立了电控高压共轨系统数学模型,用模糊PID控制算法建立柴油机高压共轨燃油喷射系统的控制模型,用遗传算法对该模型的控制参数进行优化,在Matlab/Simulink中搭建优化的控制仿真模型并进行仿真分析。仿真结果表明:优化后的模型比传统的模糊PID模型动、静态性能都有所改善,对喷油量的控制更灵活精确,优化后的控制器能有效提高高压共轨燃油喷射系统的性能。According to the physical structure and working principle of the high pressure common rail fuel injection system,the mathematical model of its system is built.Then,we use the fuzzy PID control algorithm to build the control model of the high pressure common rail diesel engine fuel injection system,and use the genetic algorithm to optimize the control parameters of the model.At last the optimization control simulation model is built and analyzed by Matlab/Simulink.The simulation result shows that the optimal model is better than the traditional fuzzy PID model in the aspect of dynamic and static performance,and the optimal model is more flexible and accurate than the traditional fuzzy PID model.Thus,the optimization controller can improve the performance of the high pressure common rail fuel injection system.

关 键 词：模糊PID控制 喷油量 高压共轨 遗传算法 

分 类 号：TK421[动力工程及工程热物理—动力机械及工程]