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Undersökning av börvärdesjusterande regulatorer

Borisson, Jerker and Brissman, Jan (1972) In MSc Theses
Department of Automatic Control
Abstract
When regulating a process, the system being sampled, one can often regard the output as white noise. Often occuring is a wish to obtain an output as close to an optimal value as possible. At the same time, however, you demand this optimal value not to be exceeded too often. Thus, when you decide your set-point you have to consider the value of the standard deviation of the white noise. If the standard deviation can not be regarded as a constant but varies with time it is possible to have the set-point following this variation. The effects of such an adjustment of the set-point have been examined within this master thesis. Chapter 2 is an examination of the differences between the cases of adjusting the set-point and keeping it constant... (More)
When regulating a process, the system being sampled, one can often regard the output as white noise. Often occuring is a wish to obtain an output as close to an optimal value as possible. At the same time, however, you demand this optimal value not to be exceeded too often. Thus, when you decide your set-point you have to consider the value of the standard deviation of the white noise. If the standard deviation can not be regarded as a constant but varies with time it is possible to have the set-point following this variation. The effects of such an adjustment of the set-point have been examined within this master thesis. Chapter 2 is an examination of the differences between the cases of adjusting the set-point and keeping it constant when having the standard deviation changing between two values. It turned out to be profitable to adjust the set-point only when the two values of the standard deviation parted much or when there was a demand of the optimal value seldom to be exceeded. To verify the theoretical results of chapter 2 and to test some different types of adjusting regulators a computer was used to simulate a real process. As an example of a real process moisture control when manufacturing paper was used. The results of chapter 2 were found true also when the variation of the standard deviation was a stochastic process. Concerning the regulators it naturally turned out that adjusting the set-point with these gave a a slightly inferior result to that when the standard deviation was known. However we found the most simple one to give the best result. (Less)
Please use this url to cite or link to this publication:
author
Borisson, Jerker and Brissman, Jan
supervisor
organization
year
type
H3 - Professional qualifications (4 Years - )
subject
publication/series
MSc Theses
report number
TFRT-5115
ISSN
0346-5500
language
Swedish
id
8850578
date added to LUP
2016-03-29 16:01:17
date last changed
2016-03-29 16:01:17
@misc{8850578,
  abstract     = {When regulating a process, the system being sampled, one can often regard the output as white noise. Often occuring is a wish to obtain an output as close to an optimal value as possible. At the same time, however, you demand this optimal value not to be exceeded too often. Thus, when you decide your set-point you have to consider the value of the standard deviation of the white noise. If the standard deviation can not be regarded as a constant but varies with time it is possible to have the set-point following this variation. The effects of such an adjustment of the set-point have been examined within this master thesis. Chapter 2 is an examination of the differences between the cases of adjusting the set-point and keeping it constant when having the standard deviation changing between two values. It turned out to be profitable to adjust the set-point only when the two values of the standard deviation parted much or when there was a demand of the optimal value seldom to be exceeded. To verify the theoretical results of chapter 2 and to test some different types of adjusting regulators a computer was used to simulate a real process. As an example of a real process moisture control when manufacturing paper was used. The results of chapter 2 were found true also when the variation of the standard deviation was a stochastic process. Concerning the regulators it naturally turned out that adjusting the set-point with these gave a a slightly inferior result to that when the standard deviation was known. However we found the most simple one to give the best result.},
  author       = {Borisson, Jerker and Brissman, Jan},
  issn         = {0346-5500},
  language     = {swe},
  note         = {Student Paper},
  series       = {MSc Theses},
  title        = {Undersökning av börvärdesjusterande regulatorer},
  year         = {1972},
}