This paper presents a method by which the results of the generated simulation of a logical 3-D model using VR Techniques may be developed and that this model may be used as a training tool. The model contains componen...
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ISBN:
(纸本)1565552687
This paper presents a method by which the results of the generated simulation of a logical 3-D model using VR Techniques may be developed and that this model may be used as a training tool. The model contains components that the user may employ to observe its dynamics in a simple and operational manner. The floor plan of this project was based on the original blueprints of the Institute of Thoracic Diseases, a part of the Federal University of Rio de Janeiro (UFRJ). This methodology is easily applied to day-to-day situations.
This work presents a simultaneous approach to the solution of the receding horizon, open-loop optimal model predictive control law for nonlinear systems using first-order Lagrangian methods. The nonlinear model consid...
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This work presents a simultaneous approach to the solution of the receding horizon, open-loop optimal model predictive control law for nonlinear systems using first-order Lagrangian methods. The nonlinear model consid...
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This work presents a simultaneous approach to the solution of the receding horizon, open-loop optimal model predictive control law for nonlinear systems using first-order Lagrangian methods. The nonlinear model considered is a general form of the initial value advective-diffusion parabolic partial differential equation. Others forms may be considered in a similar manner. The Lagrangian is formed from the discretized objective function, model and constraint equations. A finite volume approach is used to discretize the partial differential model equations. Inequality constraints on the model states and control inputs are handled with an active set method. The nonlinear equations resulting from the first order necessary conditions are then solved directly using a Newton-Krylov technique.
The thermal regenerator system studied is the blast furnace stoves for the No. 7 blast furnace at the Ispat Inland facility in East Chicago, Indiana. The paper outlines the process model and model-based state estimati...
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The thermal regenerator system studied is the blast furnace stoves for the No. 7 blast furnace at the Ispat Inland facility in East Chicago, Indiana. The paper outlines the process model and model-based state estimation techniques implemented on these stoves. The process model is a detailed heat transfer model of the stoves used as part of a predictive control scheme to determine the minimum amount of fuel necessary to heat the blast air. Batch nonlinear least squares estimation is used to update the predicted temperature profile at the end of each cooling cycle. This estimated profile is then used by the model-based controller to determine the minimum fuel requirement for the subsequent heating cycle.
A process model and model-based control techniques were implemented on the hot blast stoves for the No. 7 blast furnace at the Ispat Inland facility in East Chicago, Ind. to determine the minimum amount of fuel necess...
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A process model and model-based control techniques were implemented on the hot blast stoves for the No. 7 blast furnace at the Ispat Inland facility in East Chicago, Ind. to determine the minimum amount of fuel necessary to achieve the hot blast temperature requirements. Initial results revealed a 5% reduction in the use of natural gas enrichment for the stoves. This reduction was achieved with an estimated on-line time of 80% for the controller. Based on this initial analysis, it was considered that a 5% reduction in natural gas usage is a conservative savings achievable with the controller.
This paper outlines the process model and model-based control techniques implemented on the hot blast stoves for the No. 7 Blast Furnace at the Inland Steel facility in East Chicago, Indiana. A detailed heat transfer ...
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This paper outlines the process model and model-based control techniques implemented on the hot blast stoves for the No. 7 Blast Furnace at the Inland Steel facility in East Chicago, Indiana. A detailed heat transfer ...
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This paper outlines the process model and model-based control techniques implemented on the hot blast stoves for the No. 7 Blast Furnace at the Inland Steel facility in East Chicago, Indiana. A detailed heat transfer model of the stoves is developed. It is then used as part of a predictive control scheme to determine the minimum amount of fuel necessary to achieve the blast air requirements. The controller also considers maximum and minimum temperature constraints within the stove.
作者:
GEDNEY, SDNAVSARIWALA, UDepartment of Electrical Engineering
University of Kentucky Lexington KY 40506–0046 U.S.A. Stephen D. Gendey received the B.Eng honors degree from McGill University
Montreal PQ in 1985 and the M.S. and Ph.D. degrees in electrical engineering from the University of Illinois Urbana-Champaign IL in 1987 and 1991 respectively. From 1985 to 1987 he worked for the U.S. Army Corps of Engineers Champaign IL where he was engaged in research in EMP pulse simulation and propagation. From 1987 through 1991 he held various fellowships and assistantships at the University of Illinois and was involved in the development of computational methods fort he analysis of electromagnetic scattering by complex bodies and surfaces. Since 1991 he has been an Assistant Professor of Electrical Engineering at the Univesity of Kentucky. In 1992 and 1993 he received the NASA/ASEE Summer Faculty Fellowship at the Jet Propulsion Laboratory Pasadena CA where he has been involved in the development of techniques for the full-wave analysis of printed microwave circuits and antennas. His current research interests are in the areas of microwave circuit and antenna design and analysis the analysis of electrical interconncts of VLSI packages electromagnetic scattering and the development of parallel computational methods for the analysis of large-scale electromagnetic problems. Umesh D Navsariwala was born in Bombay
India in 1970. He received his Bachelor of Technology degree in electrical engineering from the Indian Institute of Technology Bombay India in 1991. In 1993 he received his M.S. degree in electrical engineering from University of Kentucky Lexington. He is currently pursuing doctoral studies in electrical engineering at the University of Kentucky. His fields of interest are computational electromagnetics finite element methods time-domain methods and parallel computational methods.
Parallel algorithms for the finite difference time-domain (FDTD), the planar generalized Yee (PGY), and the finite element time-domain (FETD) methods are presented. The FDTD and the PGY algorithms are both explicit ti...
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Parallel algorithms for the finite difference time-domain (FDTD), the planar generalized Yee (PGY), and the finite element time-domain (FETD) methods are presented. The FDTD and the PGY algorithms are both explicit time-domain solutions of Maxwell's equations, while the PGY algorithm is based on an unstructured grid. The FETD algorithm is a semi-implicit solution of Maxwell's equations using variational principles, and thus requires a matrix inversion for every time iteration. The three parallel algorithms are based on spatial decompositions of the discrete three-dimensional problem spaces. A comparative analysis of the parallel algorithms is presented based on their memory and computational efficiency as well as their parallel efficiency.
A kinetic flux-vector-splitting method has been used to solve the Euler equations for inviscid, compressible flow on unstructured grids. This method is derived from the Boltzmann equation and is an upwind, cell-centre...
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A kinetic flux-vector-splitting method has been used to solve the Euler equations for inviscid, compressible flow on unstructured grids. This method is derived from the Boltzmann equation and is an upwind, cell-centred, finite volume scheme with an explicit time-stepping procedure. The Delaunay triangulation has been used to generate the grids. The approach is demonstrated for three flow field simulations, namely the subsonic flow over a two-component high-lift aerofoil, the transonic flow over an aerofoil and the supersonic flow in a channel.
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