Hierarchical Control-based Trajectory Tracking Control of Robots

Ningxin Wang1, Dongsong Li2, Xiaoling Xu3, Diantao Wang4, Zhenhuai Ma5, Zuoxun Wang1, *
1Shandong Technology and Business University, Yantai 264005, China
2Shandong Luneng Intelligence Technology Co., Ltd., Jinan 250101, China
3Shandong Haiguan Electric Co., Ltd., Jinan 250014, China
4Yantai Dongfang Wisdom Electric Co., Ltd., Yantai 264003, China
5Tajik National University, Dushanbe 734025, Republic of Tajikistan
*Corresponding email: 202214078@sdtbu.edu.cn
https://doi.org/10.71052/srb2024/OXUO1580

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

Published

13/11/2026