摘要
为提高在汽油机控制策略中的转矩估计的实时性和精度,设计了一种汽油机转矩预测模型。该模型使用了以Sigmoid为核函数的ARX算法,并利用赤池(Akaike)最终预测误差法(FPE)和标准均方根误差法,辨识实验测量的节气门开度和转速数据,以此来估计模型参数。利用该转矩模型,设计了一种模型预测控制器(MPC),并进行了验证试验。结果表明:在全工况范围内,该转矩模型的预测相对误差小于4.5%;控制超调量约为6%,能达到3 s内输出预期转矩150 Nm。因而,控制效果良好,实现了汽油机转矩的精确控制。
A gasoline engine torque prediction model was designed based on Sigmoid-ARX algorithm to improve the accuracy of real-time estimates in torque control strategy. Model parameters were estimated by using the Akaike's Final Prediction Error (FPE) method and the normalized mean square error (NMSE) method through identification data set, such as valve opening degree and engine speed. A model predictive controller (MPC) was designed based on the torque model, tested, and verified. The results show that the relative error is less than 5% within the full range of operating conditions having a precise control with a torque overshoot of about 6%, and the expected torque output response is 150 Nm within 3 s. Therefore, the control strategy is effective to realize accurate control for gasoline engine torque.
出处
《汽车安全与节能学报》
CAS
CSCD
2014年第1期70-75,共6页
Journal of Automotive Safety and Energy
基金
内燃机燃烧学国家重点实验室开放课题资助项目(K2010-12)
广东省部产学研结合资助项目(2010A090200010)