Control Performance Assessment of Fractional-Order PID Controllers Applied to Tracking Trajectory Control of Robotic Systems

Author:

Angel Luis1,Viola Jairo2

Affiliation:

1. Department of Electronic Engineering Universidad Pontificia Bolivariana Via Piedecuesta km 7, Bucaramanga, COLOMBIA

2. Department of Mechanical Engineering University of California, Merced 5200 Lake Rd, Merced, CA 95343, USA

Abstract

Performing tracking tasks in robotic manipulators presents many challenges for the controller design, especially in presence of external disturbances that affects the dynamical behavior of the robotic system. This paper presents the design of a Fractional-Order PID controller with the computed torque control strategy for the tracking control of a two degree of freedom robotic manipulator. The proposed technique is contrasted against the classical PID controller with the computed torque control strategy. To validate the proposed controllers, the robotic system is simulated using an MSC-ADAMS/MATLAB co-simulation model, which is employed for identification and control tasks. The proposed model is tested in presence of external disturbances in the applied torque, random noise in the feedback loop and payload variations. Obtained results show that the Fractional-Order PID controller with the computed torque control strategy has a better performance in presence of the analyzed external disturbances for tracking tasks.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

Artificial Intelligence,General Mathematics,Control and Systems Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Robotic Manipulators: A Control Architecture Approach Based on Deep Reinforcement Learning and Simulation Environments;2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2023-07-19

2. Optimization and control of an energy-efficient vibration-driven robot;Journal of Vibration and Control;2023-05-18

3. A Review on Fractional-Order Modelling and Control of Robotic Manipulators;Fractal and Fractional;2023-01-10

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