Master'sOpen Access

Buhar türbini hızının genetik algoritmaya tabanlı PID mikrodenetleyici kontrolu

2019
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Advisor: Prof. Dr. Osman Nuri Uçan

Abstract (EN)

In the field of automatic control, FOPID and PID controllers are used in all areas of industrial work. From small operations to large operations, their work in different processes is very important for precision work and reduced effort, such as refineries and other factories. Using PID or FOPID at work is similar to routine work. So, we think about how we can improve these controllers and choose the best among them. We benefit greatly from the world of computing by choosing a way to develop PID and FOPID, and to develop their performance in a good way. In this research, PID and FOPID will be adjusted using the genetic algorithm, in order to know the best results for each, and compare them, using each of them to control the speed of the steam turbine, the process is performed by computer simulation by implementing a program in Matlab, then we compare the best results between PID and FOPID are analyzed and the results will be drawn from simulation and comparison for adoption in practical application, such as computer control systems.

Author

Dr. Ahmed Ayan Obed

How to Cite

Ahmed Ayan Obed (Master Thesis). Buhar türbini hızının genetik algoritmaya tabanlı PID mikrodenetleyici kontrolu, 2019, Altınbaş University.

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