Performance Analysis of PID, PD and Fuzzy Controllers for Position Control of 3-Dof Robot Manipulator
This incremental study addresses control design challenges for industrial robot manipulators, offering insights for researchers in automation.
The paper compared PID, PD, and fuzzy logic controllers for position control of a 3-DOF robot manipulator, finding that PID and PD performed better in rise and settling times, while fuzzy logic reduced overshoot.
Robot manipulators are extensively used in industrial applications because of their immense importance such as in constructions automation. Therefore, designing controllers to suit the intensive purpose of the application is one of the major challenges for control researchers. This paper presents comparative analysis of three controllers on a 3-DOF robot manipulator. The proportional integral derivative (PID), proportional derivative (PD) and fuzzy logic (FL) controllers were designed and applied to each of the link of the robot by simulation. The performance of each control method was assessed using the transient and steady state response characteristics. Comparisons of the results obtained, PID and PD performed better in terms of Rise Time and Settling Time while the FLC exhibited reduced overshoot