Open AccessAlgoritma Persaingan Imperialis Sebagai Optimasi Kontroler PID dan ANFIS Pada Mesin Sinkron Magnet Permanen
Author(s) -
Machrus Ali,
Agus Raikhani,
Budiman Budiman,
Hendi Sopian
Publication year - 2019
Publication title -
jeee-u (journal of electrical and electronic engineering-umsida)/jte-u (jurnal teknik elektro universitas muhammadiyah sidoarjo)
Language(s) - English
Resource type - Journals
eISSN - 2540-8658
pISSN - 2460-9250
DOI - 10.21070/jeee-u.v3i1.2023
Subject(s) - electromagnetic coil , control theory (sociology) , magnet , torque , voltage , physics , pid controller , rotation (mathematics) , computer science , nuclear magnetic resonance , control (management) , artificial intelligence , thermodynamics , temperature control , quantum mechanics
Permanent Magnet Syschronous Machine (PMSM) has low torque, so good control is needed to be stable quickly. PMSM uses the principle of faraday experiments which is rotating a magnet in a coil or vice versa. When a magnet moves in a coil, there is a change in magnetic flux in the coil and penetrates perpendicular to the coil so that there is a potential difference between the ends of the coil, regarding this due to changes in magnetic flux. Magnetic flux can be changed by moving a magnet in a coil or vice versa by utilizing other energy sources. To get a good optimization result, the right control constants are needed. So that the best output is obtained. To get the right constants, a suitable and good method is needed, including using artificial intelligence. In this study using the Imperialist Competitive Algorithm (ICA) method. From the simulation results it was found that the best controller design in this study was ANFIS-ICA with the best profile, torque profile, voltage profile, and rotation profile. The largest current is 2.45 A, the smallest overshot torque is 0.48 pu, the largest voltage frequency is 9.84 khz, and the best rotation (close to the reference) is 700.02 rpm. The results of this study will be continued with the use of other artificial intelligence.