Sistem Kendali Kecepatan Motor BLDC Menggunakan Algoritma Hybrid Pid Fuzzy

Abstract

BLDC motors are widely used in many industrial applications because of its high efficiency, high torque and low noise volume. BLDC motor speed control is a complex process. But complexity is made comparable to the performance of the BLDC motor is high. Conventional PID control proved to be able to show good performance in controlling the specific loading on the plant. But any changes in the load of the plant, conventional PID control should be re-set the parameters kp, ki and kd to target steady state according to the desired set point. The purpose of this study is to design equipment for the control of BLDC motor that can automatically tune the PID parameters by fuzzy logic. In the present study used a RISC AVR microcontroller as the control center. While the software is used for algorithm programming PID control and PID-fuzzy hybrid control in C language. In order to tune the proper PID parameters in real time, then made a two-level control system. The first level to determine the parameters of PID by finding the minimum and maximum value of kp, ki and kd the reaction curve method. The second level designing fuzzy systems in order to automatically tune PID reinforcement, then formulated into a combination of 49 fuzzy if-then rules to get the value of kp, ki and kd right of errors and changes in the value of delta error. Testing changes in set point and load changes resulting response characteristics of conventional PID control systems with an average value that is the rise time (tr) 0.025 seconds, the preset time (ts) 0.1625 seconds, amounting to 15.98% overshoot. While control Hybrid PID Fuzzy resulting average value of the rise time (tr) 0.0025 seconds, the preset time (ts) 0.057 seconds, overshoot at 5.42%.