Transient and Steady-State Adaptive Fueling Control of Spark Ignition IC Engines

2000 ◽  
Author(s):  
David J. Stroh ◽  
Matthew A. Franchek ◽  
James M. Kerns
Keyword(s):  
Control System ◽  
Steady State ◽  
Internal Combustion Engines ◽  
Least Squares Method ◽  
Nonlinear Models ◽  
Spark Ignition ◽  
Recursive Least Squares ◽  
Model Based ◽  
Feedforward Controller ◽  
Fueling Control

Abstract Presented in this paper is an adaptive, model based, fueling control system for spark ignition-internal combustion engines. Since the fueling control system is model based, the engine maps currently used in engine fueling control are eliminated. This proposed fueling control system is modular and can therefore accommodate changes in the engine sensor set such as replacing the mass-air flow sensor with a manifold air pressure sensor. The fueling algorithm can operate with either a switching type O2 sensor or a linear O2 sensor. The fueling control system is also parceled into steady state fueling compensation and transient fueling compensation. This feature provides the distinction between fueling control adaptation for transient fueling and steady state fueling. The steady state feedforward controller is comprised of two nonlinear models. These models are adapted via a recursive least squares method to accommodate product variability, engine aging, and changes in the operating environment. The transient fueling compensation also utilizes a feedforward controller that captures the essential dynamic characteristics of the transient fueling operation. This controller is measured using a frequency domain system identification approach. This proposed fueling control system is demonstrated on a Ford 4.6L V-8 fuel injected engine.

Data Driven Feedforward Transient Fueling Controller Identification for Spark Ignition Engines

2005 ◽  
Author(s):  
Matthew A. Franchek ◽  
Jackie Mohrfeld ◽  
Andy Osburn
Keyword(s):  
Steady State ◽  
Nonlinear Behavior ◽  
Spark Ignition ◽  
Spark Ignition Engines ◽  
Transient Phenomena ◽  
Crank Angle ◽  
Si Engines ◽  
Separate System ◽  
Feedforward Controller ◽  
Fueling Control

Presented in this paper is a feedforward fueling controller identification methodology for the transient fueling control of spark ignition (SI) engines. The proposed transient feedforward controller is identified and executed in the crank angle domain, and operates in tandem with a steady state fueling controller. The hypothesis is that the feedforward fueling control of SI engines can be separated into steady state and transient phenomena, and that the majority of the nonlinear behavior associated with engine fueling can be captured with nonlinear steady state compensation. The proposed transient controller identification process is built from standard nonparametric identification techniques using spectral density functions where crank angle serves as the independent variable. Two separate system identification problems are solved to identify the air path dynamics and the fuel path dynamics. The transient feedforward controller is then calculated as the ratio of the air path-over-the fuel path dynamics so that the fuel path dynamics match the air path dynamics. Consequently fueling is coordinated with the fresh air charge during transient conditions. It will be shown that a linear transient feedforward-fueling controller operating in tandem with a nonlinear steady state fueling controller can achieve air-fuel ratio (AFR) regulation comparable to a production controller without the extensive controller calibration process. The engine used in this investigation is a 1999 Ford 4.6L V-8 fuel injected engine.

The Dynamic Characteristics of an Electro-Hydraulic Servovalve

1976 ◽  
Vol 98 (4) ◽  
pp. 395-406 ◽  
Author(s):  
D. J. Martin ◽  
C. R. Burrows
Keyword(s):  
Control System ◽  
Steady State ◽  
Dynamic Characteristics ◽  
Position Control ◽  
Experimental System ◽  
Second Order ◽  
Frequency Responses ◽  
Model Based ◽  
Valve Model ◽  
Position Control System

The frequency responses of an experimental electro-hydraulic position control system and a simulation of the system are compared. Three different valve models are used in the simulation in an attempt to highlight the important parameters of an electro-hydraulic servovalve. It is found that a second order compensated valve model based on steady-state considerations provides a good correlation with the experimental system up to 35Hz and can be used for stability calculations up to 80Hz.

Identification Technique of Aircraft Gas Turbine Engine’s Health

Volume 3 ◽  
2004 ◽  
Author(s):  
A. M. Pashayev ◽  
D. D. Askerov ◽  
R. A. Sadiqov ◽  
P. S. Abdullayev
Keyword(s):  
Gas Turbine ◽  
Least Squares Method ◽  
Early Stage ◽  
Nonlinear Models ◽  
New Technology ◽  
Correlation Coefficients ◽  
Technical Condition ◽  
Recursive Least Squares ◽  
Regression Equations ◽  
Linear And Nonlinear

Groundlessness of probability-statistic methods application is shown, especially at an early stage of the aviation gas turbine engine (GTE) technical condition diagnosing, when the volume of the information has property of the fuzzy, limitation and uncertainty. Hence efficiency of application of new technology Soft Computing at these diagnosing stages with the using of the fuzzy logic and neural networks methods is considered. Training with high accuracy of multiple linear and nonlinear models (the regression equations) received on the statistical fuzzy data basis is made. For models choice is offered the application of the fuzzy correlation analysis results. Dynamics of correlation coefficients changes is considered. At the information sufficiency it is offered to use recurrent algorithm of aviation GTE technical condition identification (Hard Computing technology is used) on measurements of input and output parameters of the multiple linear and nonlinear generalised models at presence of noise measured (the new recursive least squares method). As application of the given technique the estimation of the new operating aviation engine D-30KU-154 (aircraft Tu-154M) technical condition was made.

DEVELOPMENT OF AN ELECTRONIC CONTROL SYSTEM FOR GAS-ENGINES WITH SPARK IGNITION, CONVERTED ON THE BASIS OF DIESEL ENGINES TO WORK FOR ON LIQUEFIED PETROLEUM GAS

2018 ◽  
pp. 12-18 ◽  
Author(s):  
Serhii Kovalov
Keyword(s):  
Control System ◽  
Diesel Engines ◽  
Internal Combustion Engines ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Spark Ignition ◽  
Combustion Engines ◽  
Electronic Control ◽  
Liquefied Petroleum Gas ◽  
Electronic Control System

The expediency and advantages of using gas motor fuels, in particular, liquefied petroleum gas with respect to traditional liquid motor fuels, are shown. Technical solutions for the use of liquefied petroleum gas by diesel engines are presented and analysed. The expediency and advantages of converting diesel engines to gas spark ignition internal combustion engines with respect to conversion to gas diesel engines. Developed by the Ukrainian synthesis technology Avenir Gaz has for converting diesel engines to gas internal combustion engines with spark ignition. According to the synthesis technology of Avenir Gaz, re-equipment of diesel engines of vehicles is carried out on the basis of the universal electronic control system for gas internal combustion engines, which is based on the multifunctional electronic microprocessor control unit Avenir Gaz 37. The developed electronic microprocessor control system for gas internal combustion engines with forced ignition has a modular structure and consists of two main and a number of additional subsystems. A schematic diagram of a universal electronic control system of a gas internal combustion engine with spark ignition for operation on liquefied petroleum gas is presented. The principle of operation of the main subsystems, which include the subsystem of power management and injection of liquefied petroleum gas by gas electromagnetic injectors into the intake manifold of a gas engine, and the principle of operation of the control subsystem of the ignition with two-spark ignition coils are described. A multifunctional electronic control unit Avenir Gaz 37 has been designed and manufactured. Non-motorized tests of the electronic control unit confirmed its performance. Based on the synthesis technology of Avenir Gaz using the universal electronic control system for gas internal combustion engines with the Avenir Gaz 37 ECU, the D-240 diesel engine was converted into a gas spark ignition internal combustion engine of the D-240-LPG model. Keywords: gas internal combustion engine with forced ignition, liquefied petroleum gas (LPG), electronic microprocessor control system for gas internal combustion engines, vehicles operating on LPG.

scholarly journals Combustion phasing modeling and control for compression ignition engines with high dilution and boost levels

2018 ◽  
Vol 233 (7) ◽  
pp. 1834-1850 ◽  
Author(s):  
Wenbo Sui ◽  
Carrie M Hall
Keyword(s):  
Steady State ◽  
Control Strategy ◽  
Internal Combustion Engines ◽  
Integral Model ◽  
Loop Control ◽  
Model Based Control ◽  
Model Based ◽  
Crank Angle Degree ◽  
Crank Angle ◽  
Phasing Control

Because fuel efficiency is significantly affected by the timing of combustion in internal combustion engines, accurate control of combustion phasing is critical. In this paper, a nonlinear combustion phasing model is introduced and calibrated, and both a feedforward model–based control strategy and an adaptive model–based control strategy are investigated for combustion phasing control. The combustion phasing model combines a knock integral model, burn duration model, and a Wiebe function to predict the combustion phasing of a diesel engine. This model is simplified to be more suitable for combustion phasing control and is calibrated and validated using simulations and experimental data that include conditions with high exhaust gas recirculation fractions and high boost levels. Based on this model, an adaptive nonlinear model–based controller is designed for closed-loop control, and a feedforward model–based controller is designed for open-loop control. These two control approaches were tested in simulations. The simulation results show that during transient changes, the CA50 (the crank angle at which 50% of the mass of fuel has burned) can reach steady state in no more than five cycles and the steady-state errors are less than ±0.1 crank angle degree for adaptive control and less than ±0.5 crank angle degree for feedforward model–based control.

Application of an Exhaust Geometry Based Delay Prediction Model to Internal Combustion Engines

2009 ◽  
Author(s):  
Jason Meyer ◽  
Sai S. V. Rajagopalan ◽  
Shawn Midlam-Mohler ◽  
Stephen Yurkovich ◽  
Yann Guezennec
Keyword(s):  
Steady State ◽  
Internal Combustion Engines ◽  
Control Design ◽  
Delay Model ◽  
State Delay ◽  
Model Based Control ◽  
Engine Model ◽  
Model Based ◽  
Robust Control Design ◽  
Delay Prediction

All vehicle manufacturers implement an air-to-fuel ratio (AFR) control system for emissions reduction in gasoline engines. When using a model based control structure, it is vital to capture the underlying dynamics of the plant as accurately as possible, thus facilitating a robust control design that meets the emissions regulation requirements. One of the leading sources of uncertainty in the engine model is the variable plant delay. Although the delay could be modeled using a look-up table of steady-state delay values, during transients when AFR control is most important the steady-state delay poorly approximates the true delay. An exhaust geometry based delay model was developed previously within the framework of a model based control design for AFR control of stoichiometric engines. In this paper, it is shown that using this model the delay can be predicted with a significantly higher accuracy especially during transients, thus improving emissions performance. Because the plant delay plays a destabilizing role in feedback control, the utility of such a model is also to minimize phase errors between the predicted and measured equivalence ratio (EQR) in a reference tracking control setting.

Transient Fueling Controller Identification for Spark Ignition Engines

2005 ◽  
Vol 128 (3) ◽  
pp. 499-509 ◽  
Author(s):  
Matthew A. Franchek ◽  
Jackie Mohrfeld ◽  
Andy Osburn
Keyword(s):  
Steady State ◽  
Nonlinear Behavior ◽  
Spark Ignition ◽  
Spark Ignition Engines ◽  
Transient Phenomena ◽  
Si Engines ◽  
Separate System ◽  
Fueling Control ◽  
State Models ◽  
Identification Techniques

Presented in this paper is a feedforward fueling controller identification methodology for the transient fueling control of spark ignition (SI) engines. The hypothesis of this work is that the feedforward fueling control of SI engines can be separated into steady state and transient phenomena and that the majority of the nonlinear behavior associated with engine fueling can be captured with nonlinear steady state models. The proposed transient controller identification process is built from standard nonparametric identification techniques followed by parametric model recovery. Crank angle serves as the independent variable for these models. Two separate system identification problems are solved to identify the air path dynamics and the fueling path dynamics. The transient feedforward controller is then calculated as the ratio of the air path-over-the fueling path dynamics thereby coordinating the engine fueling with the air path dynamics. It will be shown that a linear transient feedforward-fueling controller operating in tandem with a nonlinear steady state fueling controller can achieve air-fuel ratio regulation comparable to the production fueling controller without the extensive controller calibration process. The engine used in this investigation is a 1999 Ford 4.6L V-8 fuel injected engine.

DEVELOPMENT OF ASYNCHRONOUS ELECTRIC DRIVE WITH SCALAR CONTROL

2019 ◽  
Author(s):  
Igor' Polyuschenkov
Keyword(s):  
Control System ◽  
Electric Drive ◽  
Microprocessor Control ◽  
Programming Technique ◽  
Scalar Control ◽  
Model Based ◽  
Asynchronous Electric Drive ◽  
Microprocessor Control System ◽  
Software And Hardware ◽  
Technical Solutions

The materials on the development of asynchronous electric drive with scalar control are given. The technical solutions associated with the design of software and hardware parts of the microprocessor control system are described. When developed, tools of model-based programming technique are used.

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