Modeling and Analysis of an Inherently Multi-Rate Sampling Fuel Injected Engine Idle Speed Control Loop

1987 ◽  
Vol 109 (4) ◽  
pp. 405-410 ◽  
Author(s):  
B. K. Powell ◽  
J. A. Cook ◽  
J. W. Grizzle

This paper develops a model for the idle speed control of a six cylinder electronically fuel injected, spark ignition engine. The inherently discrete microprocessor based fuel controller is not constrained to operate at the engine’s natural sampling rate, resulting in a hybrid (continuous-discrete) multi-rate system. A method for evaluating the stability of the system is developed.

2012 ◽  
Vol 588-589 ◽  
pp. 1598-1601 ◽  
Author(s):  
Xue Jun Li ◽  
Wei Hong ◽  
Yan Su

The gasoline direct injection (GDI) engine is a highly non-linear and a delayed system. The engine modle with time-delays is derived. The delays consist of an intake to torque production state delay and a network -induced interval delay. Base on the Liapunov-Krasovskii function, the criterion of interval delay control system is proposed, which ensure the idle speed control system is stability as well as robust. The simulation results show that the H∞ control has good robustness,which improves the stability of the idle speed of the GDI engine.


1997 ◽  
Vol 119 (2) ◽  
pp. 175-182 ◽  
Author(s):  
Tzuen-Lih Chern ◽  
Chin-Wen Chuang

An optimal multi-input multi-output (MIMO) discrete integral variable structure control (DIVSC) rule is proposed in this paper. This approach can achieve accurate and robust dynamic responses. The modified existence conditions are introduced to assure the existence of the discrete non-ideal sliding motion. The design procedures are clearly developed in this paper. Use optimal LQ method to decide the coefficients of the sliding surfaces and integral gains. On the basis of the nonideal sliding motions, the control functions can be found out to satisfy the modified existence conditions. The idea of boundary layer is used to smoothing the control functions. Furthermore, take the engine idle speed control as an example. Simulation results will demonstrate the potential of the proposed approach.


2011 ◽  
Vol 19 (5) ◽  
pp. 990-1002 ◽  
Author(s):  
Yildiray Yildiz ◽  
Anuradha M. Annaswamy ◽  
Diana Yanakiev ◽  
Ilya Kolmanovsky

2020 ◽  
Vol 53 (2) ◽  
pp. 14028-14033
Author(s):  
Micha S. Obergfell ◽  
Steven X. Ding ◽  
Frank Wobbe ◽  
Christoph-Marian Goletz ◽  
Michael Folkers ◽  
...  

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