Optimization of PID Controller with Supervisory Fuzzy Control for Industrial Robots
الموضوعات : journal of Artificial Intelligence in Electrical Engineering
Masoud Solouki
1
(Department of Electrical Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran)
Mehran Ansarin
2
(Department of Electrical Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran)
Maryam Torabi
3
(Department of Electrical Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran)
Abbas Nematia
4
(Department of Electrical Engineering, Miyaneh Branch, Islamic Azad University, Miyaneh, Iran)
Yeganeh Bakhshizadeh
5
(Department of Electrical Engineering, Miyaneh Branch, Islamic Azad University, Miyaneh, Iran)
الکلمات المفتاحية: PID fuzzy control, supervisory, 5 DOF robot, manipulators,
ملخص المقالة :
It is difficult to control the movement of the robot arm due to its nonlinear structure. PID controller is still in the world because of its simplicity in designing this controller as the main controller. The nonlinear control technique is very complicated, and this is not very interesting in the controller. While fuzzy control has a better performance, it incorporates a fuzzy control with the PID controller to use the PID fuzzy control system to monitor the robot arm system with 5 DOF. This online control proposal is provided to get the best performance, which is possible with fuzzy supervisory control according to the simulation results in MATLAB.