吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (2): 538-547.doi: 10.13229/j.cnki.jdxbgxb201402041

• paper • Previous Articles     Next Articles

Modified Volterra model based nonlinear model predicting control for air-fuel ratio of SI engines

SHI Yi-ran1, TIAN Yan-tao1, SHI Hong-wei2, ZHANG Li3   

  1. 1. College of Communication Engineering, Jilin University, Changchun 130022, China;
    2. College of Electrical and Electronic Engineering, Changchun University of Technology, Changchun 130012, China;
    3. College of Zhuhai, Jilin University, Zhuhai 519041, China
  • Received:2013-07-27 Online:2014-02-01 Published:2014-02-01

Abstract:

The control of the Air-Fuel Ratio (AFR) for SI engines is investigated. First, the traditional Volterra model is improved, and a modified multi-input multi-output Volterra model with variable sampling intervals is proposed. This model is employed to achieve engine AFR adaptive modeling online. Then, on this basis, a nonlinear model predicting control method based on the modified Volterra model is developed. Finally, using Matlab, simulation of the proposed control model is carried out with a widely accepted SI engine benchmark, and compared with the currently used PI controller algorithm. The results show that the proposed method is effective.

Key words: automatic control technology, Volterra, nonlinear model predictive control, air-fuel ratio, SI engine, adaptive modeling

CLC Number: 

  • TK411

[1] Manzie C, Palaniswami M, Watson H. Gaussian networks for fuel injection control[J]. Journal of Automobile Engineering, 2001, 215(10): 1053-1068.



[2] Manzie C, Palaniswami M, Ralph D, et al. Model predictive control of a fuel injection system with a radial basis function network observer[J]. Journal of Dynamic Systems Measurement and Control, Transactions of the ASME, 2002, 124(4): 648-658.



[3] Balluchi A, Benvenuti L, Di Benedetto, et al. Automotive engine control and hybrid systems: challenges and opportunities[J].Proceedings of the IEEE, 2000, 88(7): 888-912.



[4] Nicolao De, Scattolini G, Siviero R, et al. Modelling the volumetric efficiency of IC engines: parametric, non-parametric and neural techniques[J]. Control Engineering Practice, 1996, 4(10):1405-1415.



[5] Tan Y, Mehrdad S. Neural-networks-based nonlinear dynamic modeling for automotive engines[J]. Neurocomputing, 2000, 30: 129-142.



[6] Vinsonneau J A F, Shields D N, King P J, et al. Polynomial and neural network spark ignition engine intake manifold modeling[C]//Proceedings of the Sixteenth International Conference on Systems Engineering, 2003, 2:718-723.



[7] Choi S B, Hendrick J K. An observer-based controller design method for improving air/fuel characteristics of spark ignition engines[C]//IEEE Trans on Control Systems Technology, 1998, 6(3): 325-334.



[8] Yoon R, Sunwoo M. An adaptive sliding mode controller for airfuel ratio control of spark ignition engines[J]. Journal of Automobile Engineering, 2001. 215(2): 305-315.



[9] Wang S W, Yu D L, Gomm J B, et al. Adaptive neural network model based predictive control for air-fuel ratio of SI engines[J]. Engineering Application of Artificial Intelligence, 2006, 19(2):189-200.



[10] Wang S W, Yu D L, Gomm J B, et al. Adaptive neural network model based predictive control of an internal combustion engine with a new optimization algorithm[J]. Journal of Automobile Engineering, 2006, 220(2):195-208.



[11] Rojas F, Rojas I, Clemente R, et al. Nonlinear blind source separation using genetic algorithm[C]//Proc of Independent Component Analysis and Signal Separation, USA, 2001: 400-405.



[12] Tan Y, Wang J. Nonlinear blind source separation using higher order statistics and a Genetic algorithm[J]. IEEE Transactions on Evolutionary Computation, 2001, 5(6): 600-612.



[13] Bryon R Maner, Francis J Doyle Ⅲ, Babatunde A, et al. Ogunnaike nonlinear model predictive control of a simulated multivariable polymerization reactor using second-order Volterra models[J]. Automatica, 1996, 32(9):1285-1301.



[14] Gruber J K, Oliva C B A. Nonlinear MPC for the airflow in a PEM fuel cell using a Volterra series model[J]. Control Engineering Practice, 2012, 20:205-217.



[15] Gruber J K, Rodríguez J L G, Bordons F C M, et al.Nonlinear MPC based on a Volterra series model for greenhouse temperature control using natural ventilation[J]. Control Engineering Practice, 2011, 19: 354-366.



[16] Hendricks E. A generic mean value engine model for spark ignition engines[C]//Proceedings of 41st Simulation Conference, DTU, Lyngby, Denmark, 2000.



[17] Ljung L. System Identification-Theory for the User[M]. Second Edition. Englewood Cliffs(NJ):Prentice-Hall, 1999:361-369.



[18] Doyle F J, Pearson R K, Ogunnaike B A. Identification and Control Using Volterra Models[M]. London: Springer, 2001.

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