An application of fuzzy intelligent system for brush less DC speed motor control
2021
0 views
0 downloads
Advisor: Prof. Dr. Aybaba Hançerlioğulları
Abstract (EN)
In this study the fuzzy intelligent system is used and analyzed for brush less dc speed motor control. The proportional controller was used to control the speed of the motor. The Sugeno is used in the fuzzy logic controller with nine roles. The input of the fuzzy was error and derivative of the errorAlso the power and fuzzy logic toolbox is used in this thesis.In this thesis, we perform BLDC motor control using a model reference based fuzzy controller. The implementation of this system has three stages. The first step is to design the reference model. The second step is the Power Plant Model. We use BLDC motor for the power plant model. The final step is designed the fuzzy controller.For implementation of the model we used the MATLAB – Simulink version 2020a. KEYWORDS: DC motor control, Fuzzy logic, Proportional controller June 2021, 43 Page
Author
Esmael Ommar Mahdı Ommar
Institution
How to Cite
Esmael Ommar Mahdı Ommar (Master Thesis). An application of fuzzy intelligent system for brush less DC speed motor control, 2021, Kastamonu University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Kastamonu University
- Investigation of pre-school teacher candidates' mental models for the concept of biodiversity(2023)
- Examining the relationship between religious attitude, self-regulation, free will, and determination(2023)
- Mental models of day and night concepts of primary school fourth grade students(2022)
- Compliance with standards and the contribution of certification to brand value: A research in Kastamonu building materials sector(2023)
- Exegesis of Ahzâb 37. verse(2023)
- The effects of the Presidential Government System on the organizational structure of public administration(2023)