Optimal Trajectory Tracking of Robotic Manipulator using Ant Colony Optimization

摘要

This paper presents the optimal trajectory tracking control of robotic manipulator using the Ant Colony Optimization (ACO) algorithm based PID controller. The various uncertainties have been taken into consideration during the simulation of 2-link robotic manipulator trajectory tracking. The results of simulation validate the performance and effectiveness of the approach.