Dara Daniel Torkzadeh

Model-based predictive anti-jerk control

Abstract Comfort is an increasingly important issue when buying a car. Modern diesel engines generate a high engine torque already at low engine speed, which may cause oscillations in the driveline of the vehicle. These oscillations are experienced as unpleasant jerking by the driver. The objective of this article is to present a model-based control concept that prevents the driveline from oscillating, a so-called anti-jerk control . A theoretical model of the driveline of a car will be presented, the parameters of which are identified by measured data. As a measure for the oscillations in the driveline, the difference between engine speed and wheel speed is used. A model-based predictive controller is designed with the help of the root locus technique. The controller concept is evaluated on a test car with a diesel engine.

Model-Based Predictive Anti-Jerk Control

Abstract Comfort is an increasingly important issue when buying a car. Modern Diesel engines generate a high engine torque already at low engine speed, which may cause oscillations in the drive line of the vehicle. These oscillations are experienced as unpleasant jerking by the driver. The objective of this article is to present a control concept that prevents the driveline from oscillating, a so-called Anti-Jerk Control. A theoretical model of the drivetrain of a car will be presented, the parameters of which are identified by measured data. As a measure for the oscillations in the driveline the difference between engine speed and wheel speed is used. A controller is designed with help of the root locus technique. The controller concept is evaluated on a test car with a diesel engine. Test results will be presented.

INTRODUCTION OF A REALTIME DIESEL-ENGINE MODEL FOR CONTROLLER DESIGN

Abstract Diesel engines with direct injection have become very important in recent years. Because of flexible injection curves, the energy conversion can be manipulated during operation. To examine how the pressure inside the combustion chamber is influenced new engine models are necessary. The engine model introduced in this paper can be used in the development process of engine control units and as a state observer for sophisticated controllers during on-board operation of the car. This paper provides a brief introduction into the model, indicating problems and solutions involved in realtime calculation.

Model Based Exhaust Gas Estimation of a Common Rail Diesel Engine

Abstract In order to improve fuel economy and the emissions of internal combustion engines, it is necessary to model the combustion process as a basis for control. In this paper, behavioral models are adopted as a compromise between accuracy of description and model complexity. The fuel injection and vaporization process is resolved into three zones: fluid droplets, vaporized and combusted fuel. The combustion chamber is divided into areas of burned and unburned gases, separated by the flame front. The chemical model for calculating emissions is based on the two-zone model. The amount of mass, which is transferred from the unburned to the burned zone, is the input for a chemical model based on the equilibrium for the OCH -system (oxygen/carbon/hydrogen). The result is the total quantity of masses in the burned zone. The nitrogen-oxide emissions are calculated by using the advanced Zeldovichmechanism which uses the reaction-kinetic approach rather than the less accurate chemical equilibrium assumption. The NO x -Emissions (nitrogen-oxides) can be influenced by changing the exhaust-gas recirculation