SI发动机闭环系统故障检测

doi:10.13229/j.cnki.jdxbgxb201702032

吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (2): 577-582.doi: 10.13229/j.cnki.jdxbgxb201702032

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Failure detection of closed-loop systems and application to SI engines

DENG Li-fei¹, SHI Yao-wu¹, ZHU Lan-xiang², YU Ding-li³

1.College of Communication Engineering, Jilin University,Changchun 130022, China;
2.College of Electrical Information,Changchun Architecture and Civil Engineering University, Changchun 130604, China;
3.School of Technology and Environment, Liverpool John Moores University, Liverpool L35UX,U.K.

Received:2015-10-13 Online:2017-03-20 Published:2017-03-20

Abstract

Abstract: The existing methods of engine fault detection and isolation are based on open-loop control, which are not applicable to closed-loop control systems. In this paper a new fault detection and isolation method for closed-loop control systems is presented. The validity of this method is verified by simulation results. First, the method was tested on the nonlinear simulation of SI engines, the Mean Value Engine Model (MVEM) with different faults was simulated. The neural network based engine air path model was constructed, which was trained with engine input/output data. Then Radial Basis Function (RBF) neural network was used to model the SI engine. The drawback of the training data acquisition was analyzed and a new data acquisition method was proposed, that greatly improved the model accuracy.

Key words: control theory and control engineering, fault detection, automotive engines, closed-loop fault detection, independent RBF model

CLC Number:

TP273

DENG Li-fei, SHI Yao-wu, ZHU Lan-xiang, YU Ding-li. Failure detection of closed-loop systems and application to SI engines[J].吉林大学学报(工学版), 2017, 47(2): 577-582.

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