基于数学建模的发动机性能控制研究  

Research on Engine Performance Control Based on Mathematical Modeling

作　　者：刘娟宁[1] LIU Juanning(Xianyang Vocational and Technical College,Xianyang Shaanxi 712000,China)

机构地区：[1]咸阳职业技术学院,陕西咸阳712000

出　　处：《自动化与仪器仪表》2024年第2期55-58,63,共5页Automation & Instrumentation

基　　金：陕西省职业技术教育学会2022年度课题《“双高”背景下《高等数学》课程分层教学模式改革研究》(2022SZX 297)。

摘　　要：为实现发动机性能优化控制,提出一种基于改进的人工蜂群算法的发动机性能寻优控制方法。方法:首先通过人工蜂群算法确定寻优控制的初始化种群,在雇佣蜂阶段结合Deb’S准则择优保留蜜源,在跟随蜂阶段优化蜜源,在侦察蜂阶段结合了标准柯西分布,提高算法的扰动能力,得到最优解。最后,以发动机的最小油耗控制为研究对象,对算法的应用效果进行仿真研究。仿真结果表明,相较于常规的用于发动机优化的SQP算法,本研究提出的改进的人工蜂群算法油耗率降低最高可以达到10%,为发动机性能寻优控制研究提供了参考。In order to achieve engine performance optimization control,an improved artificial bee colony algorithm based engine performance optimization control method is proposed.Method:Firstly,an artificial bee colony algorithm is used to determine the initial population for optimization control.In the hiring bee stage,the Deb's criterion is used to select and retain the honey source,while in the following bee stage,the honey source is optimized.In the reconnaissance bee stage,the standard Cauchy distribution is combined to improve the algorithm's disturbance ability and obtain the optimal solution.Finally,taking the minimum fuel consumption control of the engine as the research object,the application effect of the algorithm is simulated and studied.The simulation results show that compared to the conventional SQP algorithm used for engine optimization,the improved artificial bee colony algorithm proposed in this study can reduce fuel consumption by up to 10%,providing a reference for engine performance optimization control research.

关 键 词：改进的人工蜂群算法 发动机 性能优化 最小油耗 

分 类 号：TH134[机械工程—机械制造及自动化]