Parameter Estimate PID Controller for Multi-position Control of Servo Drive System with Fuzzy Self-Tuning

Abstract

This research aims to study the application of fuzzy logic to optimize parameter values for adjusting the control parameters in the servo drive that uses the movement of the servo motor. Process automation requires the convenient and quick control of distance, speed, and acceleration by using a Programmable Logic Controller (PLC) to command, display, and control as accurately and thoroughly as possible significantly reducing the tolerances to a minimum. This research compares the experimental results between manual tuning parameter settings and parameter adjustment using the proposed fuzzy logic system. It also collects movement speed and position with different loads. The experimental results are different weights that compare and find efficiency values and tolerances. The fuzzy logic results are more satisfactory than using the original in all cases.