Donald Bartusiak | ExxonMobil - Academia.edu (original) (raw)

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Papers by Donald Bartusiak

Lecture Notes in Control and Information Sciences, 2007

Nonlinear model predictive controllers (NLMPC) using fundamental dynamic models and online nonlin... more Nonlinear model predictive controllers (NLMPC) using fundamental dynamic models and online nonlinear optimization have been in service in ExxonMobil Chemical since 1994. The NLMPC algorithm used in this work employs a state space formulation, a finite prediction horizon, a performance specification in terms of desired closed loop response characteristics for the outputs, and costs on incremental manipulated variable action. The

1986 American Control Conference, 1986

Page 1. TP1 - 4:30 NONLINEAR CONTROL STRUCTURES FOR CHEMICAL REACTORS R. Donald Bartusiak, Christ... more Page 1. TP1 - 4:30 NONLINEAR CONTROL STRUCTURES FOR CHEMICAL REACTORS R. Donald Bartusiak, Christos Georgakis arid Matthew J. Reilly Chemical Ilrocess Modeling and Control Research Center and Department ...

Chemical Engineering Education, 1987

Motivated by a specific manufacturing problem in 1990, Exxon Chemical Company embarked on the dev... more Motivated by a specific manufacturing problem in 1990, Exxon Chemical Company embarked on the development of a nonlinear multivariable model-based predictive controller. The controller's evolution has included collaboration among academic researchers, engineers from industry, and process control software vendors. The resulting control algorithm was patented by Exxon Chemical Company and commercialized by Dynamic Optimization Technology Products, Inc. At the same time, several other academic interactions produced results supporting the implemention of these controllers in our manufacturing facilities. This paper chronicles the evolution of the controller development, and presents the details of the control algorithm. The control algorithm features are discussed, and where applicable, compared to other model predictive control (MPC) algorithms. Finally, two industrial examples are presented to illustrate the methodology.

Proceedings of the American Control Conference

Page 1. TP9 - 4:30 DESIGNING NONLINEAR CONTROL STUUCTURES BY REFERENCE SYSTEM SYNTHESIS R. Donald... more Page 1. TP9 - 4:30 DESIGNING NONLINEAR CONTROL STUUCTURES BY REFERENCE SYSTEM SYNTHESIS R. Donald Bartusiak, Christos Georgakis and Matthew J. Reilly Chemical Process Modeling and Control Center ...

American Control …, 1986

Chemical Engineering Science, 1989

ABSTRACT

Metallurgical Transactions B, 1988

High-speed photographic data and pressure traces of thermal explosions from the contact of single... more High-speed photographic data and pressure traces of thermal explosions from the contact of single drops of iron oxide with water were analyzed according to models describing underwater chemical explosion and cavitation bubbles. The objective of the study was to develop a simple method for analyzing the microscale hydrodynamics of fuel-coolant interactions (FCI). We have found that for a given external pressure and liquid density essentially all the features of the radial motion of the explosion bubble, including the total energy release, are uniquely determined by a single parameter-the bubble period. Nearly all of the heat transfer from fuel to coolant occurs during the 10 -5 to 10 -4 sec timespan of coolant vapor film collapse during which the fuel fragments. The observable features of the resulting explosion bubble are not significantly affected by the degree of heat transfer from vapor to coolant liquid and the bubble can be modeled as an empty cavity. The method developed during this study should facilitate investigations on FCI by simplifying the analyses of thermal explosion data. Further attention can be given to experiments on the effects of fuel parameters, e.g., surface tension and viscosity, on fragmentation, heat transfer, and explosive yield.