Calibration of the simulation parameters of the particulate materials in film mixed materials

In order to obtain accurate contact parameters of a particulate material in residual film mixture collected by cotton field machine in Xinjiang,the angle of repose test and inclined plane test were carried out.In the tests,the angles of repose of the particulate material with the water content of(6.26±1.5)%and(14.1±2.1)%were measured respectively,as well as the static sliding friction angle between the particulate material and the residual film.At the same time,the EDEM software was used to calibrate the coefficient of restitution,static friction coefficient and dynamic friction coefficient between the material and the film.Then,the second-order response model between contact parameters and the angle of repose and static sliding friction angle was constructed.In addition,the optimal contact parameters between the granular materials and the mulch were obtained by fitting the physical test data.The results indicated that the errors between the physical test results and the numerical simulation results are small.It was proved that the second-order response model could predict the repose angle of granular materials and the static sliding friction angle between granular materials and farmland film.This study could provide theoretical support for the subsequent model construction of the residual film mixture collected by the cotton field machine.

电控汽油机进气管道油膜特性参数的标定

通过理论分析和试验研究 ,完成了对油膜模型特性参数在实际应用时的表现形式的确定 ,提出了对特性参数进行试验标定的方法 ,并给出了基于模型的空燃比控制相应的试验结果。

汽油机油膜模型参数辨识

为了提高汽油机瞬态空燃比的控制精度,油膜模型被广泛使用。回顾了油膜模型参数的传统辨识方法,提出了可加快辨识过程的解耦辨识法,实现了模型参数的解耦自动辨识。通过仿真试验,证明了该解耦辨识法的有效性。最后提出了较为理想的双方程辨识方法,可定量计算得到油膜参数的值。

汽油机进气道油膜模型参数辨识算法的研究

为寻求较为理想的油膜模型参数辨识算法,从随机误差相关性出发,分别推导最小二乘辨识和基于夏氏偏差修正法辨识的计算过程;并以燃油阶跃补偿标定试验为参考,比较了最小二乘辨识和基于夏氏偏差修正法辨识效果。结果表明考虑相关随机误差的夏氏辨识在辨识效果上明显优于最小二乘辨识,且比起受工况及温度影响较大的燃油阶跃补偿标定试验在数据离散程度方面有一定的优势。基于辨识算法对油膜模型参数的辨识结果相对而言更贴近真实模型参数值,为油膜模型参数辨识提供了理论依据。

汽油机进气道油膜动力学模型参数辨识

为了更加精确地辨识汽油机进气道油膜模型参数,从而更加精确地控制空燃比,在油膜动力学模型的基础上,考虑模型误差和随机误差,建立了油膜辨识方程。根据递推最小二乘算法得到油膜参数估计的加权矩阵表达式,利用马尔可夫估计得到该加权矩阵,进而得到油膜参数的最优估计。应用GT-power建立了发动机模型,在转速1 000～3 500 r/min、节气门开度5%～75%变化时,分别利用提出的算法和最小二乘法对油膜参数进行了辨识,并与标定值进行了比较。结果表明,燃油沉积系数X在同一转速时,随着节气门开度的增大而减小,在同一节气门开度时,随着转速的增加而减小;油膜质量蒸发时间常数τ在同一转速时,随着节气门开度的增大而增加;在同一节气门开度时,随着转速的增加而减小。通过误差分析,表明所提出的方法比最小二乘算法的辨识结果精度更高。

基于蝙蝠算法整定PID的发动机空燃比控制研究

为了提高发动机空燃比控制的精度,提出了一种基于蝙蝠算法整定参数的PID控制器,将此控制器应用于某单缸发动机的平均值模型中进行模拟测试,并加入了油膜补偿模型。仿真结果表明,与传统PID控制器相比,基于蝙蝠算法调整参数的PID控制器能更好地适应发动机系统的非线性和时变性特性,对瞬态工况下空燃比有更好的控制效果。