Comparative Analysis of Different Controllers for Tracking of Manipulator

Engineers have struggled to control robots since the 1950s, when the PID controller was first used to regulate complex systems. Since its release, this controller has been a top pick among manufacturers due to its low price and ease of assembly. For nonlinear systems, fuzzy logic controllers have been used by researchers and scientists to overcome the drawbacks of PID. However, as time goes on, new controlling techniques develop that are more powerful in terms of control than the previous ones. Complex, nonlinear, and dynamically ununderstood systems need neuro logic controllers, which, when paired with standard controls, comprise the neuro PID controller or neuro Fuzzy PID controller. This paper takes a comprehensive look at the many control systems utilised in the functioning of robotic manipulators, from the first controllers to the present.