Paper Title
Comparative Study of Pid and Fuzzy Logic Control Techniques for A Robotic Manipulator

This study compares the control of a robotic manipulator using fuzzy logic control (FLC) and Proportional integral derivative (PID) techniques. The comparison is presented in terms of time response characteristics such as Rise time, Settling time and steady state error. It has been observed that FLC gives better performance as compared to the PID controller. Hence, significance of each control strategy is discussed along with its merits and demerits. It has also been demonstrated that system behaves more robustly using FLC controller. This research area was surveyed through 42 papers, covering the contribution of each control technique to the robot manipulator. PID and fuzzy logic controllers are considered more unique than other techniques due to their widespread use in industrial control applications and their ability to effectively address a range of control problems. Their simplicity and adaptability make them reliable and versatile solutions for many different control scenarios, leading to their continued popularity in the field of industrial automation and control. Keywords - Robotic Manipulator, PID, FLC, Fuzzy SMC, Adaptive Fuzzy Control