Intake Air Control of SI Engine Using Dead-Time Compensation

Fu, Jingshun; Kurihara, Nobuo

doi:10.4271/2003-01-3267

Cited by 4 publications

(2 citation statements)

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“…The structure is shown in Figure 2. The reader will remember the expansion servo system described in Equation (2). Here another state variable was used, and the derivative z  of the target value and the model output was inserted, which was expected to improve the robustness of whichever engine control system is being used in the operating mode of holding a lower idle speed or of a sudden start.…”

Section: Servo System II Using Modified Smcmentioning

confidence: 99%

“…Recently there are many studies that apply control theories such as LQG, PID, adaptive control to idle-speed control [1,2]. In particular, because variable structure control is suitable for systems that are linear or nonlinear, continual or discrete, certain or uncertain, the application of sliding mode control is regarded as a solution to the problem of improving idle-speed control.…”

Section: Introductionmentioning

confidence: 99%

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Study of Integral Variable Structure Control Method for Stability of SI Engine Idling Speed

Zhang¹,

Kurihara²

2010

JSEA

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The intake air control system of a gasoline engine is a typical nonlinear system, and included among the adverse factors that always induce poor idle-speed control stability are dead time and disturbances in the intake air control process. In this paper, to improve the responsiveness when idling with regard to disturbances, a mean-value engine model (MVEM) with dead time was constructed as the control object, and the two servo structures of sliding mode control (SMC) were studied for better idle control performance, especially in transient process of speed change. The simulation results confirmed that under the constraint condition of control input, the robustness of idle speed control that is being subjected to torque disturbances and noise disturbances can be greatly improved by use of the servo structure II.

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Section: Servo System II Using Modified Smcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%