Fault-Tolerant Control for Mobile Robots: Integrating Low-Pass Filters for Improved Actuator Fault Compensation

This paper presents the modeling and control of a non-holonomic mobile robot with a differential-drive configuration. The robot has two independent, active drive wheels and two passive rotating wheels, allowing it to maneuver with high precision. A Varying Low-Pass Filter (VLPF) is employed to preprocess feedback signals before they are fed into a back-stepping controller. This approach smoothens the feedback signals, thereby enhancing the Fault-Tolerant Control (FTC) system's performance and ensuring the robot's stability even in the presence of actuator faults. The proposed control strategy is validated through simulations and real-world experiments, demonstrating improved stability and robustness under various fault conditions.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/icsses64899.2025.11009298
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Fault-Tolerant Control for Mobile Robots: Integrating Low-Pass Filters for Improved Actuator Fault Compensation

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Fault Detection and Control Systems
article

Fault-Tolerant Control for Mobile Robots: Integrating Low-Pass Filters for Improved Actuator Fault Compensation

Lê Văn Chương, Toai Nguyen, Dinh Tu Duong, Hung Cuong Ta, Sy Phuong Ho, Van Phan
article en

Abstract

This paper presents the modeling and control of a non-holonomic mobile robot with a differential-drive configuration. The robot has two independent, active drive wheels and two passive rotating wheels, allowing it to maneuver with high precision. A Varying Low-Pass Filter (VLPF) is employed to preprocess feedback signals before they are fed into a back-stepping controller. This approach smoothens the feedback signals, thereby enhancing the Fault-Tolerant Control (FTC) system's performance and ensuring the robot's stability even in the presence of actuator faults. The proposed control strategy is validated through simulations and real-world experiments, demonstrating improved stability and robustness under various fault conditions.

Vinh University (VN)
Affordable and clean energy
Openalex Percentile: Top 85%
Fault Detection and Control Systems
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