Fuzzy logic control based on genetic algorithm of a two axes manipulator
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
Key Words: Fuzzy Logic, Genetic Algorithm, Dynamic Control, Performance Criteria Robotic manipulators which have an increasing usage in the industry, are applied to various control methods to perform their tasks. Through that point, in this work PID control, fuzzy logic control and optimized fuzzy logic control based on genetic algorithm control methods are simulated on the two-degree of freedom manipulator. So, all the mentioned control techniques are compared with each other according to some performance criteria.
Author
Emre Aytan
How to Cite
Emre Aytan (Master Thesis). Fuzzy logic control based on genetic algorithm of a two axes manipulator, 2007, Sakarya University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Sakarya University
- Turkey according to the records of the House of Commons (1918-1922)(2011)
- Ömer Öngüt, his views and community through publications(2025)
- Mawlana Yaqub-i Charkhi And His tafsir(2024)
- Research of teachers' attitudes and self-efficacy perceptions towards distance education application(2024)
- Tiles in architect Vedat Tek's Istanbul buildings(2024)
- Financial performance evaluation and the relationship between stock returns: Hesitant Fuzzy AHP based approach(2020)