欢迎访问《汽车安全与节能学报》，
汽车安全与节能学报

汽车安全与节能学报 ›› 2014, Vol. 5 ›› Issue (01): 70-75.DOI: 10.3969/j.issn.1674-8484.2014.01.009

• 汽车节能与环保 • 上一篇    下一篇

基于Sigmoid-ARX 算法的汽油机转矩估计及预测控制

李顶根，严 索，从耀威   

  1. 华中科技大学 能源与动力工程学院，武汉430074，中国
  • 收稿日期:2013-10-21 出版日期:2014-03-25 发布日期:2014-04-08
  • 作者简介:李顶根（1977 －），男（汉），副教授。E-mail: lidinggen@sina.com
  • 基金资助:

    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)

Estimation and predictive control of gasoline engine torque based on Sigmoid-ARX algorithm

LI Dinggen, YAN Suo, CONG Yaowei   

  1. School of Power and Energy, Huazhong University of Science and Technology, Wuhan 430074, China
  • Received:2013-10-21 Online:2014-03-25 Published:2014-04-08

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。

关键词: 汽油机, 控制策略, 转矩估计, 模型预测控制器(MPC) , ARX-Sigmoid 算法

Abstract:

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.

Key words: gasoline engines, control strategies, torque estimation, model predictive controller (MPC), Sigmoid-ARX algorithm

中图分类号: