Regular room inspections are crucial for the health and safety of elderly residents in nursing homes. To address the trajectory tracking problem of nursing robots, a hierarchical control framework is proposed. The upper layer combines an H∞ unscented Kalman filter (HUKF) with nonlinear model predictive control (NMPC) to enhance state estimation and optimize the reference trajectory, while the lower layer uses a sliding mode controller for high-response actuation. Simulation results demonstrate that the proposed control scheme achieves excellent tracking accuracy and robustness, significantly reducing deviations caused by slippage, modeling errors, and disturbances. These results offer a solid foundation for the intelligent control of skid-steering nursing robots in complex environments.
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Share and Cite
Wang, N., Li, D., Xu, X., Wang, D., Ma, Z., Wang, Z. (2026) Hierarchical Control-based Trajectory Tracking Control of Robots. Scientific Research Bulletin, 3(5), 36-46. https://doi.org/10.71052/srb2024/OXUO1580
