dc.contributor |
Graduate Program in Systems and Control Engineering. |
|
dc.contributor.advisor |
Kaynak, Okyay, |
|
dc.contributor.author |
Kayacan, Erdal. |
|
dc.date.accessioned |
2023-03-16T11:34:42Z |
|
dc.date.available |
2023-03-16T11:34:42Z |
|
dc.date.issued |
2006. |
|
dc.identifier.other |
SCO 2006 K38 |
|
dc.identifier.uri |
http://digitalarchive.boun.edu.tr/handle/123456789/15622 |
|
dc.description.abstract |
This thesis proposes a grey system theory based fuzzy PID controller that has a prediction capability. Although fuzzy control theory and grey system theory have completely different mathematical basics, both deal with uncertain information. In the thesis, a short description of both are given and their performance are compared on a non-linear liquid level control system. The grey model developed is examined under several different conditions and it is shown that the proposed grey fuzzy PID controller has better self-adapting characteristics. The simulation results indicate that the proposed controller has the ability to control the non-linear system accurately with a little amount of overshoot and with no steady-state error. It has, in these respects, better performance than the conventional controllers. The thesis is also intended to serve as a first reading on grey system theory and grey prediction based controllers. The fundamental concepts and mathematical basics of grey system theory are therefore explained in simple terms. |
|
dc.format.extent |
30cm. |
|
dc.publisher |
Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006. |
|
dc.subject.lcsh |
PID controllers. |
|
dc.subject.lcsh |
Fuzzy logic. |
|
dc.title |
Grey prediction based control of a non-linear liquid level system using PID type fuzzy controller |
|
dc.format.pages |
xiii, 66 leaves; |
|