Fault Tolerant Control of Mecanum Wheeled Mobile Robots

Fuente: arXiv
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Autori principali: Ma, Xuehui, Zhang, Shiliang, Sun, Zhiyong
Natura: Preprint
Pubblicazione: 2025
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author Ma, Xuehui
Zhang, Shiliang
Sun, Zhiyong
author_facet Ma, Xuehui
Zhang, Shiliang
Sun, Zhiyong
contents Mecanum wheeled mobile robots (MWMRs) are highly susceptible to actuator faults that degrade performance and risk mission failure. Current fault tolerant control (FTC) schemes for MWMRs target complete actuator failures like motor stall, ignoring partial faults e.g., in torque degradation. We propose an FTC strategy handling both fault types, where we adopt posterior probability to learn real-time fault parameters. We derive the FTC law by aggregating probability-weighed control laws corresponding to predefined faults. This ensures the robustness and safety of MWMR control despite varying levels of fault occurrence. Simulation results demonstrate the effectiveness of our FTC under diverse scenarios.
format Preprint
id arxiv_https___arxiv_org_abs_2512_06444
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Fault Tolerant Control of Mecanum Wheeled Mobile Robots
Ma, Xuehui
Zhang, Shiliang
Sun, Zhiyong
Robotics
Mecanum wheeled mobile robots (MWMRs) are highly susceptible to actuator faults that degrade performance and risk mission failure. Current fault tolerant control (FTC) schemes for MWMRs target complete actuator failures like motor stall, ignoring partial faults e.g., in torque degradation. We propose an FTC strategy handling both fault types, where we adopt posterior probability to learn real-time fault parameters. We derive the FTC law by aggregating probability-weighed control laws corresponding to predefined faults. This ensures the robustness and safety of MWMR control despite varying levels of fault occurrence. Simulation results demonstrate the effectiveness of our FTC under diverse scenarios.
title Fault Tolerant Control of Mecanum Wheeled Mobile Robots
topic Robotics
url https://arxiv.org/abs/2512.06444