Year: 2024 | Month: May | Volume: 11 | Issue: 5 | Pages: 122-128
DOI: https://doi.org/10.52403/ijrr.20240515
An Implementation of Fuzzy to Minimize Electrical Losses in Induction Machine Vector Control
Zulfadli Pelawi1, Mahrizal Masri2, Hermansyah Alam3
1,2,3Universitas Islam Sumatera Utara Medan, North Sumatera Indonesia
Corresponding Author: Hermansyah Alam
ABSTRACT
An induction motor is a motor that is difficult to control so it requires synchronous speed due to dynamic load changes which are controlled by the torque current while the field current is kept constant. Thus, in this paper, we implement an adaptive PID controller method with an induction motor using MATLAB which coordinates the speed of two decoupled loads with a three-phase induction motor, where an adaptive Self Tuning Regulator (STR) PID controller is designed and realized to regulate the speed of a three-phase induction motor. using MATLAB software and AVR Atmega16 microcontroller as input and output from the plant with communication using serial RS232. The results show that after coordinating the system with each motor which is given a neural controller and FOC, the motor speed results are obtained which gradually provide synchronous speed so it can be concluded that this system can work well to slow down the plant response.
Keywords: Induction Motor, Motor Speed, neural method, PID controller
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