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Optimal and Adaptive control of Strip Temperature for a Heating Furnace in C.A.P.L.

IFAC Proceedings Volumes 1987年第8期20卷 449-454页

作者： N. Yoshitani Process Computer Control Section Equipment Division Nippon Steel Corporation Nagoya Works Tokai City 476 Japan

The strip temperature control for a heating furnace is discussed. A new control has been developed at Nagoya Works. It is based on a new dynamic mathematical model which employs the fuel flow rate as a control signal. The unique feature of this control is a new control strategy, called the optimal preview control, to cope with future set changes (changes of strip width, thickness, or heat pattern). It determines the production line speed and the target trajectory of the strip temperature for future set changes. In order to control the temperature to this target trajectory, a self-tuning control with pole-placement was modified and introduced into a dynamic follow-up control. The plant parameters are estimated on-line by a least squares estimation with multiple and variable forgetting factors. The control has been successfully applied to an actual operating plant and has achieved excellent results.

关键词： Adaptive control Optimal control Parameter estimation Pole placement Self-tuning control process control Steel industry Temperature control

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TRANSIM‐A GENERAL PURPOSE PROBLEM SOLVING TOOL

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Naval Engineers Journal 1973年第5期85卷 79-92页

作者： McMICHAEL, DAVID L. ORLEANS, BEATRICE S. Mr. David L. McMichael:is Senior Development Engineer on the Project TRANSIM Staff at the University of California at Los Angeles. He is widely experienced in the application of quantitative analytical methods in particular computer simulation to the solution of real-world problems. Prior to joining the UCLA Staff he was a commissioned officer in the U.S. Navy and was assigned to the Naval Ship Systems Command as a system analyst engaged in the introduction of quantitative analysis methods in the Navy management decision-making process. He has also been Senior Systems Analyst ASSET Inc. Industrial Engineer with the Surface Combustion Corp. and Speiser Engineering Inc. and a lecturer in Mathematics at North Virginia Community College. He received his MS degree in Operations Research at the U.S. Naval Postgraduate School having specialized in gaming and simulation and his BSME degree at Tri-State College Angola Indiana. Miss Beatrice S. Orleans:holds a BA degree in Mathematics and Statistics from Hunter College and a MS degree in Statistics from Columbia University-Graduate School of Business. She has also completed graduate courses at Columbia George Washington and American Universities. Prior to her present position she was employed by the International Statistical Bureau as an economic statistician the Educational Testing Service as a research assistant the Air Force Human Resources Research Laboratory as an aviation psychologist and Head of the Statistics Section and CNO Aviation Plans and Programs as a mathematical statistician. For the past 20 years she has been with the Bureau of Ships and now the Naval Ship System Command in what is known as the Statistical Engineering Branch of which she has been the Branch Head for the last 10 years. She also has worked in the areas of Statistical Quality Control and Design of Experiments and Reliability and in addition has taught a number of sessions of a course in Introduction to Statistical Inference for the Navy the Laboratories and the Army.

This paper describes TRANSIM simulation a a method for solving problems. There is a brief discussion of modeling and its importance. TRANSIM is compared with other general purpose simulators, special purpose simulation, and network analysis techniques such as PERT/CPM. Data requirements for TRANSIM applications are discussed, and a few examples of specific Navy applications are described in a general fashion. In conclusion, the paper details the latest TRANSIM development work in project analysis and output formats for project risk, resource allocation and scheduling. © 1973 American Society of Naval Engineers

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