Improved Modeling and Optimal Control of an Electric Arc Furnace
Improved Modeling and Optimal Control of an Electric Arc Furnace

Author: Jared James Snell

Publisher:

Published: 2010

Total Pages: 146

ISBN-13:

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This thesis centers around an electric arc furnace (EAF) at a steel mini-mill in Wilton, IA. First, the thesis replicates previous optimization attempts. Next, the modeling is greatly altered to produce a much improved steel-melting model. Then, a new optimal control system is created and used to reduce energy and fuel costs over the melting process. Finally, results are presented. This thesis shows that when the new optimal control is simulated, the system shows significant energy and fuel savings.

Modeling and Control of Batch Processes
Modeling and Control of Batch Processes

Author: Prashant Mhaskar

Publisher: Springer

Published: 2018-11-28

Total Pages: 346

ISBN-13: 3030041409

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Modeling and Control of Batch Processes presents state-of-the-art techniques ranging from mechanistic to data-driven models. These methods are specifically tailored to handle issues pertinent to batch processes, such as nonlinear dynamics and lack of online quality measurements. In particular, the book proposes: a novel batch control design with well characterized feasibility properties; a modeling approach that unites multi-model and partial least squares techniques; a generalization of the subspace identification approach for batch processes; and applications to several detailed case studies, ranging from a complex simulation test bed to industrial data. The book’s proposed methodology employs statistical tools, such as partial least squares and subspace identification, and couples them with notions from state-space-based models to provide solutions to the quality control problem for batch processes. Practical implementation issues are discussed to help readers understand the application of the methods in greater depth. The book includes numerous comments and remarks providing insight and fundamental understanding into the modeling and control of batch processes. Modeling and Control of Batch Processes includes many detailed examples of industrial relevance that can be tailored by process control engineers or researchers to a specific application. The book is also of interest to graduate students studying control systems, as it contains new research topics and references to significant recent work. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Electric Arc Furnace Steelmaking
Electric Arc Furnace Steelmaking

Author: Miroslaw Karbowniczek

Publisher: CRC Press

Published: 2021-09-19

Total Pages: 263

ISBN-13: 1000450007

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The importance of electric arc furnace steelmaking is evident from the escalated world production seen in steel industry. This book presents systematic and complete details on the current state of knowledge about metallurgical processes carried out in the electric arc furnace. It includes principles of construction of electric arc furnaces, applied construction solutions, and their operations (together with auxiliary/supportive devices). Modern technologies of melting of various grades steel are detailed, considering the participation of secondary metallurgy including theoretical backgrounds of chemical processes and reactions. It contains theoretical analysis and results of laboratory, model, and industrial tests. Features: Covers the practical aspects of electric arc furnace steelmaking including technological process. Discusses the operation issues of an electric arc furnace in a technical and technological context. Presents a systematic and complete knowledge about relevant construction solutions and metallurgical processes. Includes practical industrial benchmark indicators in the scope of equipment and technology. Analyses practical case studies from industry. This book aims at researchers, professionals and graduate students in Metallurgical Engineering, Materials Science, Electric Power Supply, Environmental Engineering, and Mechanical Engineering.

Model Fitting for Electric Arc Furnace Refining
Model Fitting for Electric Arc Furnace Refining

Author: Letsane Paul Rathaba

Publisher:

Published: 2013

Total Pages:

ISBN-13:

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The dissertation forms part of an ongoing project for the modelling and eventual control of an electric arc furnace (EAF) process. The main motivation behind such a project is the potential benefits that can result from automation of a process that has largely been operator controlled, often with results that leave sufficient room for improvement. Previous work in the project has resulted in the development of a generic model of the process. A later study concentrated on the control of the EAF where economic factors were taken into account. Simulation results from both studies clearly demonstrate the benefits that can accrue from successful implementation of process control. A major drawback to the practical implementation of the results is the lack of a model that is proven to be an accurate depiction of the specific plant where control is to be applied. Furthermore, the accuracy of any process model can only be verified against actual process data. There lies the raison d'etre for this dissertation: to take the existing model from the simulation environment to the real process. The main objective is to obtain a model that is able to mimic a selected set of process outputs. This is commonly a problem of system identification (SID): to select an appropriate model then fit the model to plant input/output data until the model response is similar to the plant under the same inputs (and initial conditions). The model fitting is carried out on an existing EAF model primarily by estimation of the model parameters for the EAF refining stage. Therefore the contribution of this dissertation is a model that is able to depict the EAF refining stage with reasonable accuracy. An important aspect of model fitting is experiment design. This deals with the selection of inputs and outputs that must be measured in order to estimate the desired parameters. This constitutes the problem of identifiability: what possibilities exist for estimating parameters using available I/O data or, what additional data is necessary to estimate desired parameters. In the dissertation an analysis is carried out to determine which parameters are estimable from available data. For parameters that are not estimable recommendations are made about additional measurements required to remedy the situation. Additional modelling is carried out to adapt the model to the particular process. This includes modelling to incorporate the oxyfuel subsystem, the bath oxygen content, water cooling and the effect of foaming on the arc efficiency.