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

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.

[1]  Guoming G. Zhu,et al.  Sliding mode control of both air-to-fuel and fuel ratios for a dual-fuel internal combustion engine , 2012 .

[2]  Jongeun Choi,et al.  Hardware-in-the-Loop Simulation of Robust Gain-Scheduling Control of Port-Fuel-Injection Processes , 2011, IEEE Transactions on Control Systems Technology.

[3]  E. Hendricks.  Engine Modelling for Control Applications: A Critical Survey , 1997 .

[4]  José Francisco Gómez-Aguilar,et al.  A survey on modeling, biofuels, control and supervision systems applied in internal combustion engines , 2017 .

[5]  Chen-Fang Chang,et al.  Observer-based air fuel ratio control , 1998 .

[6]  David W. Clarke,et al.  Generalized predictive control - Part I. The basic algorithm , 1987, Autom..

[7]  Pak Kin Wong,et al.  Adaptive air-fuel ratio control of dual-injection engines under biofuel blends using extreme learning machine , 2018 .

[8]  Luo Wen,et al.  Research on modeling and simulation of SI engine for AFR Control application , 2014 .

[9]  Elbert Hendricks,et al.  The Analysis of Mean Value SI Engine Models , 1989 .

[10]  Elbert Hendricks,et al.  A New Family of Nonlinear Observers for SI Engine Air/Fuel Ratio Control , 1997 .

[11]  Elbert Hendricks,et al.  Nonlinear Transient Fuel Film Compensation (NTFC) , 1993 .

[12]  Tielong Shen,et al.  Adaptive air–fuel ratio control scheme and its experimental validations for port‐injected spark ignition engines , 2015 .

[13]  Zhe Wang,et al.  A Review of Spark-Ignition Engine Air Charge Estimation Methods , 2016 .

[14]  Elbert Hendricks,et al.  Modelling of the Intake Manifold Filling Dynamics , 1996 .

[15]  Ryozo Nagamune,et al.  Air-Fuel Ratio Control of Spark Ignition Engines Using a Switching LPV Controller , 2012, IEEE Transactions on Control Systems Technology.

[16]  Reza Tafreshi,et al.  Fuzzy Sliding‐mode Strategy for Air–fuel Ratio Control of Lean‐burn Spark Ignition Engines , 2018 .