Air-fuel ratio regulation using a discrete-time internal model controller

Kahveci, Nazli E.; Impram, Serkan T.; Genç, A. Umut

doi:10.1109/itsc.2014.6958084

Cited by 7 publications

(6 citation statements)

References 19 publications

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“…Selecting the error of the AFR as the evaluation signal for the demand of the AFR precise control, obviously one can obtain 1 2 z 2 1 ≤ 1 2 z T z . Then the time derivative of V (t) satisfies the following inequality:…”

Section: Stability Analysismentioning

confidence: 99%

“…In view of the impact of the transport time delay on the dynamics of the AFR, several studies have been made. For example, in [1] the internal model control and its application to the AFR control system are presented. This method handles the time delay in the AFR system under the condition that the structure of the plant is already known in the absence of any disturbance to the system.…”

Section: Introductionmentioning

confidence: 99%

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ADRC‐based transient air/fuel ratio control with time‐varying transport delay consideration for gasoline engines

Wang

Jiao

2017

IEEJ Transactions Elec Engng

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This paper presents a fuel injection controller based on the modified active disturbance rejection control (ADRC) algorithm to maintain the air/fuel ratio (AFR) at the stoichiometric value in the presence of a transport time delay. The factors affecting the dynamics of the AFR include the variations of the intake manifold pressure, engine speed, and load torque, as well as uncertain parameters existing in the fuel film evaporation and the oxygen sensor aging, which are viewed as the 'total disturbance' to the AFR system and estimated by the extended state observer (ESO). Thus, based on the Lyapunov–Krasovskii functional stability theory, the ADRC fuel injection controller is designed with the gain matrices of the controller and observer and solved by employing linear matrix inequalities. Considering the time‐varying transport delay, a time delay block is added to the ESO. By synchronizing the input signals of the ESO, the performance in terms of the timely compensation for the disturbance is improved. The effectiveness of the proposed control strategy is validated through simulation of a V6 spark ignition engine model developed by the Society of Instrument and Control Engineers (SICE) Research Committee on Advanced Powertrain Control Theory. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Section: Stability Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

ADRC‐based transient air/fuel ratio control with time‐varying transport delay consideration for gasoline engines

Wang

Jiao

2017

IEEJ Transactions Elec Engng

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“…Te experimental results showed the efectiveness of the control technique. Authors in [12] implemented an internal model controller (IMC) combined with a discrete adaptive controller for controlling the AFR with parametric uncertainties. Te simulation results showed the efectiveness of the proposed method.…”

Section: Introductionmentioning

confidence: 99%

Design of an Adaptive Control to Feed Hydrogen-Enriched Ethanol-Gasoline Blend to an Internal Combustion Engine

García-Morales

Escobar-Jiménez

Ramos-Negrón

et al. 2022

International Journal of Chemical Engineering

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In this work, an internal combustion (IC) engine air-fuel ratio (AFR) control system is presented and evaluated by simulation. The control scheme aims to regulate the overall air-fuel ratio (AFRoverall) in an IC engine fueled with a hydrogen-enriched ethanol-gasoline blend (E10) as fast as possible. The control scheme designed and developed in this work considers two control laws, a feedback control law to regulate the hydrogen and adaptive nonlinear control law for controlling the E10 mass flow injection. The main contribution of this work is the reduction of the number of controllers used for controlling the overall air-fuel ratio since other control strategies use two controllers for controlling the E10 mass flow injection. Simulation results have shown the effectiveness of the new control scheme.

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“…Among many published papers on AFR control, only a few investigated the discrete-time approach; some representative research findings in the literatures are discussed here. In the study of Kahveci et al, 4 an internal model controller combined with an adaptive law in discrete-time was proposed for AFR regulation. Li and Yurkovich 5 presented a feedforward artificial neural network to approximate the system function in both AFR prediction and control.…”

Section: Introductionmentioning

confidence: 99%

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

Tafreshi

2019

Advances in Mechanical Engineering

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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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Air-fuel ratio regulation using a discrete-time internal model controller

Cited by 7 publications

References 19 publications

ADRC‐based transient air/fuel ratio control with time‐varying transport delay consideration for gasoline engines

ADRC‐based transient air/fuel ratio control with time‐varying transport delay consideration for gasoline engines

Design of an Adaptive Control to Feed Hydrogen-Enriched Ethanol-Gasoline Blend to an Internal Combustion Engine

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

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