Adaptive Air-Fuel Ratio Regulation for Port-Injected Spark-Ignited Engines Based on a Generalized Predictive Control Method

Lei Meng, Xiaofeng Wang, Chunnian Zeng and Jie Luo
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Lei Meng: School of Automation, Wuhan University of Technology, Wuhan 430070, China
Xiaofeng Wang: Department of Electrical Engineering, University of South Carolina, Columbia, SC 29208, USA
Chunnian Zeng: School of Automation, Wuhan University of Technology, Wuhan 430070, China
Jie Luo: School of Automation, Wuhan University of Technology, Wuhan 430070, China

Energies, 2019, vol. 12, issue 1, 1-19

Abstract: The accurate air-fuel ratio (AFR) control is crucial for the exhaust emission reduction based on the three-way catalytic converter in the spark ignition (SI) engine. The difficulties in transient cylinder air mass flow measurement, the existing fuel mass wall-wetting phenomenon, and the unfixed AFR path dynamic variations make the design of the AFR controller a challenging task. In this paper, an adaptive AFR regulation controller is designed using the feedforward and feedback control scheme based on the dynamical modelling of the AFR path. The generalized predictive control method is proposed to solve the problems of inherent nonlinearities, time delays, parameter variations, and uncertainties in the AFR closed loop. The simulation analysis is investigated for the effectiveness of noise suppression, online prediction, and self-correction on the SI engine system. Moreover, the experimental verification shows an acceptable performance of the designed controller and the potential usage of the generalized predictive control in AFR regulation application.

Keywords: air-fuel ratio regulation; SI engine; adaptive control; generalized predictive control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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