This research presents an intelligent control approach for wheeled mobile robots using feedback linearization combined with a self-tuning PD fuzzy controller. The method dynamically adjusts control parameters to handle nonlinearities and uncertainties in robot motion. By integrating fuzzy logic with conventional PD control, the system improves tracking accuracy, stability, and responsiveness. The proposed approach enhances autonomous navigation performance, making it suitable for robotics applications requiring adaptability, precision control, and reliable real-time operation.
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2024 11th ICRITO Conference (pp. 1–6).
https://doi.org/10.1109/ICRITO61523.2024.10522120