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.
Imperalist Competitive Algorithm (ICA) is one method of artificial intelligence inspired by competition for power. In system optimization this method gets better results than other artificial intelligence methods. DC shunt motors do not need a lot of space because of the small wire diameter, but the output power is very small because the amplifier current is small. A good shunt motor setting is needed to produce the desired motor speed. In this study PID controls were tuned using ICA. This good PID guide will get a good system optimization. As a comparison, the control of the shunt motor speed without control, with PID control, with detuning ICA PID control (PID-ICA). The results showed that the results of PID-ICA had the smallest overshot and undershot, with a speed of 500.00 rpm and the fastest settling time : 1201 s. This research will be developed using other artificial intelligence methods.
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