Novel PID Tracking Controller for 2DOF Robotic Manipulator System Based on Artificial Bee Colony Algorithm

Author:

Elkhateeb Nasr A.1,Badr Ragia I.2

Affiliation:

1. Ph.D., Modern University for Technology and Information

2. Professor, Cairo University

Abstract

Abstract This study presents a well-developed optimization methodology based on the dynamic inertia weight Artificial Bee Colony algorithm (ABC) to design an optimal PID controller for a robotic arm manipulator. The dynamical analysis of robotic arm manipulators investigates a coupling relation between the joint torques applied by the actuators and the position and acceleration of the robot arm. An optimal PID control law is obtained from the proposed (ABC) algorithm and applied to the robotic system. The designed controller optimizes the trajectory of the robot’s end effector for a time-variant input and makes the robot robust in the presence of external disturbance.

Publisher

Walter de Gruyter GmbH

Reference17 articles.

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2. [2] S. A. Ahmed and M. G. Petrov, “Trajectory Control of Mobile Robots Using Type-2 Fuzzy-Neural PID Controller,” IFAC-PapersOnLine, vol. 48, no. 24, pp. 138–143, 2015. https://doi.org/10.1016/j.ifacol.2015.12.07110.1016/j.ifacol.2015.12.071

3. [3] P. V. Savsani and R. L. Jhala, “Optimal Motion Planning For a Robot Arm by Using Artificial Bee Colony (ABC) Algorithm,” International Journal of Modern Engineering Research (IJMER), vol. 2, no. 6, pp. 4434–4438, 2012.

4. [4] Q. Ma and X. Lei, “Dynamic Path Planning of Mobile Robots Based on ABC Algorithm,” Lecture Notes in Computer Science, pp. 267–274, 2010. https://doi.org/10.1007/978-3-642-16527-6_3410.1007/978-3-642-16527-6_34

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