A DC motor widely uses for sensitive
speed and position in industry. Stability and productivity of a system are
important for controlling of a DC motor speed. Stable of speed which affected
from load fluctuation and environmental factors. Therefore, it is important for
the speed value which is required as constant and to keep it as its value. In
this study, it is aimed that the speed value which is achieved as required
value and keeping it as constant using Proportional, Integral and Derivative
(PID) controller for tuning parameters. Firstly, Ziegler-Nichols (ZN) is one of
a traditional method used. PID parameters are determined with responses of
open-loop under running system. Later, parameters of the PID are estimated
using two metaheuristic algorithms such as Particle Swarm Optimization (PSO)
and Genetic Algorithm (GA). As a result, three algorithms’ results are compared
based on five criteria. The PSO
algorithm produces better results than Genetic Algorithm for each criteria.
Birincil Dil | İngilizce |
---|---|
Konular | Elektrik Mühendisliği, Endüstri Mühendisliği |
Bölüm | Araştırma Makalesi |
Yazarlar | |
Yayımlanma Tarihi | 1 Nisan 2019 |
Gönderilme Tarihi | 9 Ocak 2018 |
Kabul Tarihi | 10 Ekim 2018 |
Yayımlandığı Sayı | Yıl 2019 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.