PID TUNING WITH UP-TO-DATE METAHEURISTIC ALGORITHMS
Öz
design. In recent years, metaheuristic algorithms also have been used to tuning the PID coefficients. In this study, an interactive graphical user interface program was designed, which makes the design of PID type controllers with six up-to-date metaheuristic algorithms according to different performance criteria. The controller coefficients can be tuned easily, quickly and effectively with this software tool that performs single or comparative designs, provides numerical and graphical solutions, and enables detailed analysis and synthesis.
Anahtar Kelimeler
Kaynakça
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- 2. Abualigah, L., Yousri, D., Elaziz, M.A., Ewees, A.A., Al-qaness, M.A.A., Gandomi, A.H. (2021b) Aquila optimizer: A novel meta-heuristic optimization algorithm, Computers & Industrial Engineering, 157, Art no. 107250. doi: https://doi.org/10.1016/j.cie.2021.107250
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- 5. Control Tutorials for MATLAB and Simulink (CTMS), (2022). Access address: https://ctms.engin.umich.edu/CTMS/index.php?example=Introduction§ion=ControlPID (Accessed in: 01.02.2022)
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Elektrik Mühendisliği
Bölüm
Araştırma Makalesi
Yazarlar
Yayımlanma Tarihi
31 Ağustos 2022
Gönderilme Tarihi
21 Mart 2022
Kabul Tarihi
23 Mayıs 2022
Yayımlandığı Sayı
Yıl 2022 Cilt: 27 Sayı: 2
Cited By
Trajectory Tracking Control Using Evolutionary Approaches for Autonomous Driving
International Journal of Automotive Science and Technology
https://doi.org/10.30939/ijastech..1354082