Identification of Air-Fuel Ratio Dynamics in SI Engines using Linear Parameter Varying Techniques

2011 ◽  
Author(s):  
Rohit Zope ◽  
Javad Mohammadpour ◽  
Karolos Grigoriadis ◽  
Matthew Franchek ◽  
Reza Tafreshi ◽  
...  
Keyword(s):  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Fuel Ratio ◽  
Si Engines ◽  
Parameter Varying

Linear Parameter-Varying Lean Burn Air-Fuel Ratio Control for a Spark Ignition Engine

2007 ◽  
Vol 129 (4) ◽  
pp. 404-414 ◽  
Author(s):  
Feng Zhang ◽  
Karolos M. Grigoriadis ◽  
Matthew A. Franchek ◽  
Imad H. Makki
Keyword(s):  
Time Delay ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Linear Parameter ◽  
Lean Burn ◽  
Linear Parameter Varying ◽  
Variable Time Delay ◽  
Variable Time ◽  
Fuel Ratio ◽  
Parameter Varying

Maximization of the fuel economy of the lean burn spark ignition (SI) engine strongly depends on precise air-fuel ratio control. A great challenge associated with the air-fuel ratio feedback control is the large variable time delay in the exhaust system. In this paper, a systematic development of an air-fuel ratio controller based on post lean NOx trap (LNT) oxygen sensor feedback using linear parameter-varying (LPV) control is presented. Satisfactory stability and disturbance rejection performance is obtained in the face of the variable time delay. The LPV controller is simplified to an explicit parameterized gain scheduled lead-lag controller form for the ease of implementation. A Ford F-150 truck with a V8 4.6 l lean burn engine was used to demonstrate the LPV air-fuel ratio control design. Both simulation and experimental results demonstrate that the designed controller regulates the tailpipe air-fuel ratio to the preset reference for the full engine operating range.

scholarly journals Real-Time Predictive Control for SI Engines Using Linear Parameter-Varying Models

2015 ◽  
Vol 48 (23) ◽  
pp. 94-101 ◽  
Author(s):  
Pawel Majecki ◽  
Gerrit M. van der Molen ◽  
Michael J. Grimble ◽  
Ibrahim Haskara ◽  
Yiran Hu ◽  
...  
Keyword(s):  
Real Time ◽  
Predictive Control ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Si Engines ◽  
Parameter Varying

scholarly journals Digital fuzzy sliding-mode control for a linear parameter-varying air–fuel ratio system

2019 ◽  
Vol 11 (1) ◽  
pp. 168781401882210
Author(s):  
Hsiu-Ming Wu ◽  
Reza Tafreshi
Keyword(s):  
Sliding Mode ◽  
Tracking Error ◽  
Sampled Data ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Time Varying Delay ◽  
Fuel Ratio ◽  
System A ◽  
Fuzzy Sliding Mode ◽  
Parameter Varying

Air–fuel ratio is a key factor for the minimization of the harmful pollutant emissions and maximization of fuel economy. However, a big challenge for air–fuel ratio control is a large time-varying delay existing in spark ignition engines. In this article, a digital fuzzy sliding-mode controller is proposed to control a linear parameter-varying sampled-data air–fuel ratio system. First, the Pade first-order technique is utilized to approximate the time-varying delay. The resultant system—a linear parameter-varying continuous-time air–fuel ratio system with unstable internal dynamics—is then discretized to a linear parameter-varying sampled-data air–fuel ratio system appropriate for a discrete-time control approach. Based on the linear parameter-varying sampled-data air–fuel ratio system, a stable sliding surface with a desired tracking error dynamics is presented. Two input scaling factors and one output scaling factor are determined for the proposed digital fuzzy sliding-mode controller. Then, the fuzzy inference is executed through a look-up table to stabilize the sliding surface into a convex set, and then make the tracking error possess uniformly ultimately bounded performance. The overall system stability is verified by Lyapunov’s stability criteria. Finally, the simulation results demonstrate the feasibility, effectiveness, and robustness of the proposed control scheme under different operating conditions and show the superiority of the proposed approach performance compared to the baseline controller.

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