2 edition of Nonlinear dynamic modelling and identification of a three-way catalytic converter found in the catalog.
Nonlinear dynamic modelling and identification of a three-way catalytic converter
Michail I. Soumelidis
Written in English
|Statement||Michail Ilias Soumelidis.|
|Series||Sussex theses ; S 5769|
|Contributions||University of Sussex. School of Sciences and Technology. Department of Engineering and Design.|
|The Physical Object|
|Pagination||xi, 344 leaves :|
|Number of Pages||344|
The working of three-way catalytic converters (TWC's) is based on chemical reactions whose rates are nonlinear functions of temperature and reactant concentrations all along the device. Unfortunately, the choice of suitable expressions and the tuning of their parameters is particularly difficult in dynamic . Written for practicing engineers and advanced students, this book discusses the modeling, simulation, and control of nonlinear dynamic systems using soft computing methods and fractal theory. Topics covered include fuzzy logic and neural networks, adaptive model-based control, and automated mathematical modeling and simulation.
library of four nonlinear (NARMAX) dynamic models to predict the three-way catalyst (TWC) transient response. Each nonlinear model is optimised for use under a certain operating region. In order to identify the current operating region and select the appropriate local model for prediction, the rate of change of stored oxygen is monitored. Mathematical modeling of three-way catalytic converter (3WCC) operation is increasingly employed in automotive catalyst and converter systems optimization. Oxygen storage is known to strongly affect catalytic converter operation under real world transient operating conditions. This paper presents a modeling approach embodying a comprehensive oxygen storage and release .
Nonlinear dynamics of three-way catalyst Composition of model gas at the converter inlet CO C 2 H 2 C 2 H 4 NO O 2 CO 2 N 2 % ppm ppm ppm - % % balance Component Mol. fraction •Mathematical model of three-way catalytic converter . Abstract. The two-phase-model describes the thermal and chemical behaviour of a Three-Way-Catalytic converter (TWC). According to this model energy, mass balance equations for gas and solid phase are taking into account.
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In search of highly accurate models that are also simple in structure, this paper explores alternative means of modelling the strongly nonlinear dynamic behaviour of three-way catalysts. The proposed TWC black-box identification technique uses the polynomial NARMAX model to describe the TWC dynamic : Michail I.
Soumelidis, Richard K. Stobart. A nonlinear dynamic model for three-way catalyst control and diagnosis, SAE Transactions, Vol. 4, Fuels and Lubricants,SAE paperpp. – (Society of Automotive Engineers, New York).Cited by: 3.
Nonlinear dynamic modelling and identification of a three-way catalytic converter Nonlinear modelling and identification techniques were then employed in order to explore alternative means of modelling the strongly nonlinear dynamic behaviour of TWCs.
The polynomial NARMAX model was selected to describe the TWC dynamic system and both its. The working of three-way catalytic converters (TWCs) is based on chemical reactions whose rates are nonlinear functions of temperature and reactant concentrations all along the device.
The choice. For the control of three-way catalytic converters (TWCs), simplified models of not only the TWC but also the λ-sensors upstream and downstream of the TWC are required.
The accurate interpretation of the sensor signals makes the correction or online identification of model parameters possible. Thus, a precise estimate of the species that mainly drive the sensor's output is by: Luigi Glielmo, Stefania Santini, A Two-Time-Scale Infinite-Adsorption Model of Three Way Catalytic Converters During the Warm-Up Phase, Journal of Dynamic Systems, Measurement, and Control, /,1, (62), ().
For offline development and calibration of On-Board Diagnosis functions of the exhaust gas aftertreatment system a model of the three-way catalytic converter is essential. The goal of the method presented here is to approximate the conversion behavior of a three way catalytic converter by a model which is suitable for application in such a.
Nonlinear Dynamics provides a forum for the rapid publication of original research in the field. The journal’s scope encompasses all nonlinear dynamic phenomena associated with mechanical, structural, civil, aeronautical, ocean, electrical, and control systems.
Recently, Rasheed et al. () presented a model based feed forward controller using the model presented in Schär et al. () There are also models of the SCR where the dynamics of the system are simplified, one of these works are presented Brandt et al.
(), where a model of a three-way catalytic converter is developed. 1. Introduction. System identification is the process of creating models of dynamic process from input–output signal. System identification is the art and methodology of making mathematical models from dynamic systems based on the input–output modeling and identification refers to a systematic way to determine and improve the mathematical models for.
Various attempts to simply model the dynamic characteristic of three-way catalytic converter have been published in the recent years [3,4, 5].
All these models try to capture the oxygen storage. The paper deals with a model based fault diagnosis for a catalytic cracking converter process realized using artificial neural networks. Modelling of the considered process is carried out by using a locally recurrent neural network.
Decision making about possible faults is performed using statistical analysis of a residual. Yang, Kuo, and Chen, Pingen. "Model Predictive Air-Fuel Ratio Control for an Integrated Gasoline Engine and Three-Way Catalytic Converter System." Proceedings of the ASME Dynamic Systems and Control Conference.
The algorithm, based on relatively simple control-oriented models of the three-way catalytic converter and the oxygen sensor, is suitable for real-time, on-board applications. It is concluded, that mathematical modelling may successfully describe important aspects of real world three-way catalytic converter operation under dynamic conditions, and thus, is a valid tool in exhaust aftertreatment systems optimization.
The technique is then applied to the identification of a 3 × 3 third-order nonlinear model for a simulated model IV fluid catalytic cracking unit.
Do you want to read the rest of this article. Presented is the model based diagnostics of a three-way catalyst (TWC). The proposed TWC model relates measurable engine inputs (engine air mass (AM) and catalyst temperature) to a metric that quantifies TWC oxygen storage capacity.
The TWC model structure is based on the dynamics of the TWC and identified using orthogonal least squares (OLS). The nonlinear dynamics of an automotive three-way catalyst (TWC) present a challenge to developing simple control-oriented models that are both useful for control and/or diagnostics and real-time executable within a vehicle engine-control unit (ECU).
This book contains selected papers of NSC08, the 2nd Conference on Nonlinear Science and Complexity, held July,Porto, Portugal. It focuses on fundamental theories and principles, analytical and symbolic approaches, computational techniques in nonlinear physics and mathematics.
Nüesch, Sandro P., Stefanopoulou, Anna G., Jiang, Li, and Sterniak, Jeffrey. "Methodology to Evaluate the Fuel Economy of a Multimode Combustion Engine With Three-Way Catalytic Converter." Proceedings of the ASME Dynamic Systems and Control Conference.
The study of nonlinearities in physiology has been hindered by the lack of effective ways to obtain nonlinear dynamic models from stimulus-response data in a practical context.
A considerable body of knowledge has accumulated over the last thirty years in this area of research.In the present paper, a control-oriented model is proposed that uses a library of four nonlinear (NARMAX) dynamic models to predict the three-way catalyst (TWC) transient response.The book treats physically-based as well as models based experimentally on test benches for gasoline (spark ignition) and diesel (compression ignition) engines and uses them for the design of the different control functions.
Engine Modeling and Identification Methods. Nonlinear dynamic engine control. Digital control.