吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (3): 726-734.doi: 10.13229/j.cnki.jdxbgxb201403024

• Orignal Article • Previous Articles     Next Articles

Joint non-linear model predict control for air-fuel ratio of SI engine

SHI Yi-ran1,TIAN Yan-tao1,ZHANG Li2,SHAN Ze-biao1,WU Hao1   

  1. 1.College of Communication Engineering, Jilin University, Changchun 130012,China;
    2.Zhuhai College of Jilin University, Zhuhai 519041,China
  • Received:2013-12-23 Online:2014-03-01 Published:2014-03-01

Abstract: A variable sampling period Modified Volterra model is proposed for the Air-Fuel Ratio (AFR) control system in Spark Ignition (SI) engine. On this basis, a joint Nonlinear Model Predictive Control (NMPC) method is developed based on the Radial Basis Function Neural Network (RBFNN) model combining with the modified Volterra model. The advantages of this method are small amount of calculation and high prediction accuracy; also the optimal control sequence can be directly calculated. Thus it significantly improves the AFR control performance of SI engine, and greatly reduces the computing time compared with the conventional iterative optimization algorithm. Real-time simulations based on the mean value engine model are conducted on the dSPASCE simulation platform. Results show that the control performance of the proposed method is significantly better than the RBFNN model or the Modified Volterra model based NMPC method.

Key words: automatic control technology, Volterra model, air-fuel ratio(AFR), RBFNN model

CLC Number: 

  • TP273
[1] Manzie C, Palaniswami M, Watson H. Model predictive control of a fuel injection system with a radial basis function network observer[C]∥Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, Como, Italy,2000:359-364.
[2] Manzie C, Palaniswami M, Watson H. Gaussian networks for fuel injection control[J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2001, 215(10):1053-1068.
[3] Choi S B, Hedrick J K. An observer-based controller design method for improving air/fuel characteristics of spark ignition engines[J]. IEEE Transactions on Control Systems Technology, 1998, 6(3): 325-334.
[4] Hsieh M F, Canova M, Wang J. Model predictive control approach for AFR control during lean NOx trap regenerations[J]. SAE International Journal of Fuels and Lubricants, 2009, 2(1): 149-157.
[5] Wojnar S, Honek M, Rohal'-llkiv B. Nonlinear air-fuel ratio predictive control of spark ignited engines[C]∥2013 International Conference on Process Control, Strbske Pleson,Slovakia,2013:225-230.
[6] Wang S, Yu D L, Gomm J B, et al, Adaptive neural network model based predictive control for air-fuel ratio of SI engines[J]. Engineering Applications of Artificial Intelligence,2006,19(2): 189-200.
[7] Wang S W,Yu D L. Adaptive air-fuel ratio control with MLP network[J]. International Journal of Automation and Computing, 2005, 2(2): 125-133.
[8] Han H G, Wu X L, Qiao J F. Real-time model predictive control using a self-organizing neural network[J]. Neural Networks and Learning Systems, 2013, 24(9):1425-1436.
[9] Maner B R, Doyle III F J, Ogunnaike B A, et al. Nonlinear model predictive control of a simulated multivariable polymerization reactor using second-order Volterra models[J]. Automatica, 1996, 32(9): 1285-1301.
[10] Gruber J K, Guzmán J L, Rodríguez F, et al. Nonlinear MPC based on a Volterra series model for greenhouse temperature control using natural ventilation[J]. Control Engineering Practice, 2011, 19(4): 354-366.
[11] Boland M D, Zoubir A M. Identification of time-varying non-linear systems with application to knock detection in combustion engines[C]∥IEEE Region 10 Annual Conference on Speech and Image Technologies for Computing and Telecommunications, Brisbane, Qld, Australia,1997:799-802.
[12] Gruber J K, Bordons C, Oliva A. Nonlinear MPC for the airflow in a PEM fuel cell using a Volterra series model[J]. Control Engineering Practice, 2012, 20(2): 205-217.
[13] 陈虹. 模型预测控制[M]. 北京: 科学出版社,2013.
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