Four DOF Robot Manipulator Control Using Feedback Linearization Based on Sliding Mode Control

This paper investigates the performance of a four-degree-of-freedom (4DOF) robot arm using feedback linearization based on sliding mode control (FLSM). FLSM simplifies complex nonlinear control solutions and mitigates the effects of the highly coupled dynamic behavior of the 4DOF manipulator. The controller takes into account uncertain dynamics and unexpected disturbances such as changes in payload, variations in wind, and gravity effects in different directions. The stability of the proposed controller is achieved using the manipulator model and FLSM without linearizing the model. Stability is analyzed using a Lyapunov function, and MATLAB Simulink is utilized to simulate the real parameters of the Quanser QArm. The results are compared with those obtained using a PID controller.

Authors

Publication Details

Journal
International Journal of Robotics and Control Systems
Published
2025-02-15
DOI
https://doi.org/10.31763/ijrcs.v5i2.1729
Primary Topic
Teleoperation and Haptic Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Four DOF Robot Manipulator Control Using Feedback Linearization Based on Sliding Mode Control

Claude Ziad El‐Bayeh, I. M. Elzein, Ahmed Badawi, Walid Alqaisi et al.
1 links
International Journal of Robotics and Control Systems
Teleoperation and Haptic Systems
article

Four DOF Robot Manipulator Control Using Feedback Linearization Based on Sliding Mode Control

Claude Ziad El‐Bayeh, I. M. Elzein, Ahmed Badawi, Walid Alqaisi, Mostafa Soliman
article en

Abstract

This paper investigates the performance of a four-degree-of-freedom (4DOF) robot arm using feedback linearization based on sliding mode control (FLSM). FLSM simplifies complex nonlinear control solutions and mitigates the effects of the highly coupled dynamic behavior of the 4DOF manipulator. The controller takes into account uncertain dynamics and unexpected disturbances such as changes in payload, variations in wind, and gravity effects in different directions. The stability of the proposed controller is achieved using the manipulator model and FLSM without linearizing the model. Stability is analyzed using a Lyapunov function, and MATLAB Simulink is utilized to simulate the real parameters of the Quanser QArm. The results are compared with those obtained using a PID controller.

International Journal of Robotics and Control SystemsVol. 5(2)
Openalex Percentile: Top 90%
Teleoperation and Haptic Systems
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