Undersökning av börvärdesjusterande regulatorer
(1972) In MSc ThesesDepartment 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:
http://lup.lub.lu.se/student-papers/record/8850578
- author
- Borisson, Jerker and Brissman, Jan
- supervisor
- organization
- year
- 1972
- 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}},
}