DocumentCode :
1387328
Title :
Continuous-discrete interactions in chemical processing plants
Author :
Engell, Sebastian ; Kowalewski, Stefan ; Schulz, Christian ; Stursberg, Olaf
Author_Institution :
Dept. of Chem. Eng., Dortmund Univ., Germany
Volume :
88
Issue :
7
fYear :
2000
fDate :
7/1/2000 12:00:00 AM
Firstpage :
1050
Lastpage :
1068
Abstract :
This paper discusses important hybrid aspects of chemical processing plants. It is outlined that discrete phenomena occur both on the physical level and in the control of these plants. As the dynamics of the transformations of energy and material are predominantly continuous, large and complex hybrid systems arise. We focus on three different aspects of dealing with such systems: (1) Modeling and simulation of hybrid systems for the design and optimization of plants, controllers and operating strategies. We present powerful simulation environments that have been developed in recent years. (2) Validation of plant instrumentation and discrete controllers. These systems are largely responsible for the safe and economic operation of chemical plants and the protection of the workforce, and the environment. Techniques for the verification of discrete controllers for continuous processes are discussed, which are based on a discrete approximation of the continuous dynamics. (3) Scheduling of batch plants. For plants that are operated in a discontinuous fashion, the timing and sequencing of the operations are very important for the efficient use of the equipment. This leads to large mixed-integer optimization problems. For a typical example, we show how the process and the constraints can be modeled and describe an efficient solution algorithm.
Keywords :
chemical industry; control system synthesis; digital simulation; discrete systems; integer programming; optimal control; process control; batch plant scheduling; chemical processing plants; continuous-discrete interactions; controller design; controller optimization; discontinuous operations; discrete controller validation; efficient solution algorithm; hybrid systems; large mixed-integer optimization problems; modeling; operating strategy design; operating strategy optimization; plant design; plant instrumentation validation; plant optimization; sequencing; simulation; Chemical processes; Design optimization; Dynamic scheduling; Environmental economics; Instruments; Power generation economics; Power system modeling; Power system protection; Process control; Timing;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/5.871308
Filename :
871308
Link To Document :
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