Grey prediction based control of a non-linear liquid level system using PID type fuzzy controller
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.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.format.pages | xiii, 66 leaves; | |
dc.identifier.other | SCO 2006 K38 | |
dc.identifier.uri | https://digitalarchive.library.bogazici.edu.tr/handle/123456789/15622 | |
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 |
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