General Motors Phase II Catalyst System

Canale, Raymond P.; Winegarden, Samuel R.; Carlson, Clifford R.; Miles, Donald L.

doi:10.4271/780205

Cited by 35 publications

(11 citation statements)

References 6 publications

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“…Let us express (3) more generally as (4) for a model and a multiplicative time varying error , and let the measurement be defined as (5) where is a constant, is the time-delay, is an input, and is a signum function. The control objective is to keep .…”

Section: Mathematical Modelmentioning

confidence: 99%

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An observer-based controller design method for improving air/fuel characteristics of spark ignition engines

Choi¹,

Hedrick

1998

IEEE Trans. Contr. Syst. Technol.

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In the urban traffic mode, the engine is known to be operated mostly in a transient state. However, the wide operating range, the inherent nonlinearities of the induction process and the large modeling uncertainties make the design of the fuelinjection controller very difficult. Even though a sliding mode fuel-injection control method is in good agreement with the characteristics of the system, the unavoidable large time-delay between control action and measurement causes the problem of chattering. In this paper, an observer-based fuel-injection control algorithm is suggested for fast response and small amplitude chattering of the air-to-fuel ratio. The characteristics of the proposed controller are compared with those of other controllers. The proposed controller is simple enough for on-line computation and is implemented on an automotive engine using a PC-386. The simulation and the experimental results show that this algorithm reduces the chattering magnitude considerably while speeding up the transient response and is robust to modeling errors.

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Section: Mathematical Modelmentioning

confidence: 99%

“…Many of the current production fuel-injection controllers rely on open-loop feedforward control based on a lookup table with proportional plus integral (PI) feedback control [4]. However, building the table is a laborious process of calibration and tuning.…”

mentioning

confidence: 99%

An observer-based controller design method for improving air/fuel characteristics of spark ignition engines

Choi¹,

Hedrick

1998

IEEE Trans. Contr. Syst. Technol.

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“…4) can be obtained as a function of engine speed and manifold pressure by steady-state engine tests. By denoting the steady-state air flow rate out of the manifold as the true air flow rate during transient operations can be expressed as (3) where is a multiplicative error fraction. For S.I.…”

Section: Fuel Injection Model Of Port Fuel Injection Systemmentioning

confidence: 99%

“…The A/F ratio regulation is a difficult control problem since the oxygen sensor at the exhaust gives almost binary information (leanness or richness of the A/F ratio as shown in Fig. 2), and has considerable sensing time delay [3]. There has been a great deal of research on transient air/fuel characteristics and its control [1], [2], [15], [15], [5], [17], and it is concluded that three characteristic delays are responsible for unwanted A/F ratio excursions during transient operations.…”

Section: Introductionmentioning

confidence: 99%

Air-to-fuel ratio control of spark ignition engines using Gaussian network sliding control

Won

Choi²,

Hedrick

1998

IEEE Trans. Contr. Syst. Technol.

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This paper treats air-to-fuel ratio control of a spark ignition engine. A direct adaptive control method using Gaussian neural networks is developed to compensate transient fueling dynamics and the measurement bias of mass air flow rate into the manifold. The transient fueling compensation method is coupled with a dynamic sliding mode control technique that governs fueling rate when the throttle change is not rapid. The proposed controller is simple enough for on-line computation and is successfully implemented on an automotive engine having a multiport fuel injection system.

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“…A feedforward-feedback controller is generally implemented where pre and post-catalyst lambda measurements are used to correct the air-fuel ratio signal computed from the feedforward path. 5,6 A wide body of literature has focused on developing control strategies to maintain the air-fuel ratio close to stoichiometry while compensating for disturbances and delays in the system. 7–11 Even though the current control techniques work well in most cases, they require extensive calibration of the feedforward and feedback controllers for effective emissions mitigation.…”

Section: Introductionmentioning

confidence: 99%

Physics-based linear model predictive control strategy for three-way catalyst air/fuel ratio control

Mamun

Zhu

Hoffman

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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The Current practice of air-fuel ratio control relies on empirical models and traditional PID controllers, which require extensive calibration to maintain the post-catalyst air-fuel ratio close to stoichiometry. In contrast, this work utilizes a physics-based Three-Way Catalyst (TWC) model to develop a model predictive control (MPC) strategy for air-fuel ratio control based on internal TWC oxygen storage dynamics. In this paper, parameters of the physics-based temperature and oxygen storage models of the TWC are identified using vehicle test data for a catalyst aged to 150,000 miles. A linearized oxygen storage model is then developed from the identified nonlinear model, which is shown via simulation to follow the nonlinear model with minimal error during nominal operation. This motivates the development of a Linear MPC (LMPC) framework using the linearized TWC oxygen storage model, reducing the requisite computational effort relative to a nonlinear MPC strategy. In this work, the LMPC utilizing a linearized physics-based TWC model is proven suitable for tracking a desired oxygen storage level by controlling the commanded engine air-fuel ratio, which is also a novel contribution. The offline simulation results show successful tracking performance of the developed LMPC framework.

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General Motors Phase II Catalyst System

Cited by 35 publications

References 6 publications

An observer-based controller design method for improving air/fuel characteristics of spark ignition engines

An observer-based controller design method for improving air/fuel characteristics of spark ignition engines

Air-to-fuel ratio control of spark ignition engines using Gaussian network sliding control

Physics-based linear model predictive control strategy for three-way catalyst air/fuel ratio control

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