A Control Perspective on Position Tracking of a Two-Link Robotic Manipulator: Addressing Perturbations with FOPID and SMC

This paper explores position-tracking control strategies for a two-link robotic manipulator, focusing on achieving robust performance and precision under dynamic uncertainties. The proportional-integral-derivative (PID) controller is initially employed as a benchmark to highlight its limitations in handling nonlinearity and disturbances. We propose a fractional-order PID (FOPID) controller and sliding mode control (SMC) as advanced alternatives to overcome these challenges. The controllers are compared based on their tracking accuracy, robustness, and response to disturbances. Stability analysis for the SMC is conducted using Lyapunov theory to ensure reliable performance under varying conditions. Simulation results demonstrate the comparative advantages of FOPID and SMC over PID, particularly in improved tracking precision and robustness. This study provides valuable insights into designing and evaluating control strategies for robotic manipulators operating in uncertain environments.

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Publication Details

Published
2025-02-17
DOI
https://doi.org/10.1109/ssd64182.2025.10990020
Citations
1
Primary Topic
Robotic Mechanisms and Dynamics
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
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article

A Control Perspective on Position Tracking of a Two-Link Robotic Manipulator: Addressing Perturbations with FOPID and SMC

Nezar M. Alyazidi, Sami Elferik, Khaled S. Bin Gaufan, Mubarak Badamasi Aremu
1 citations
Robotic Mechanisms and Dynamics
1.21
article

A Control Perspective on Position Tracking of a Two-Link Robotic Manipulator: Addressing Perturbations with FOPID and SMC

Nezar M. Alyazidi, Sami Elferik, Khaled S. Bin Gaufan, Mubarak Badamasi Aremu
article en
1 citations

Abstract

This paper explores position-tracking control strategies for a two-link robotic manipulator, focusing on achieving robust performance and precision under dynamic uncertainties. The proportional-integral-derivative (PID) controller is initially employed as a benchmark to highlight its limitations in handling nonlinearity and disturbances. We propose a fractional-order PID (FOPID) controller and sliding mode control (SMC) as advanced alternatives to overcome these challenges. The controllers are compared based on their tracking accuracy, robustness, and response to disturbances. Stability analysis for the SMC is conducted using Lyapunov theory to ensure reliable performance under varying conditions. Simulation results demonstrate the comparative advantages of FOPID and SMC over PID, particularly in improved tracking precision and robustness. This study provides valuable insights into designing and evaluating control strategies for robotic manipulators operating in uncertain environments.

King Fahd University of Petroleum and Minerals (SA)
King Fahd University of Petroleum and Minerals
Climate action
Openalex Percentile: Top 21%
Robotic Mechanisms and Dynamics
1.21
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