Sep 2026· International journal of electrical and electronics research· 0 citations· 16 references
Abstract
This paper investigates a high-precision trajectory tracking control strategy for differential-drive tanker robots subject to the combined effects of liquid sloshing dynamics and mixed-terrain disturbances. A key challenge in this application arises from the contrasting characteristics of different payload regimes: while a full tank presents maximum total mass and inertia, a half-filled tank (50% partial-load) possesses an expanded free-surface area that facilitates larger wave oscillations (exhibiting peak transient amplitudes near -0.28" m" , compared to approximately -0.22" m" under full load). To mitigate these state-dependent internal hydrodynamic forces alongside stochastic surface resistance, a control architecture integrating Sliding Mode Control with a Nonlinear Disturbance Observer (DOB-SMC) is formulated. Within this scheme, the observer estimates and compensates for the lumped disturbance composite in real time, thereby allowing a reduction in the discontinuous switching gain to alleviate control chattering. Simulation results along a multi-zone circular trajectory indicate that the DOB-SMC framework consistently attenuates tracking discrepancies across both load conditions, achieving Root Mean Square Error (RMSE) reductions of 42.69% (from 0.0061" m" to 0.0035" m" ) under full load and 33.32% (from 0.0052" m" to 0.0035" m" ) at partial load relative to standalone SMC. Overall, the proposed approach demonstrates practical feasibility for improving trajectory tracking precision and maintaining bounded transient responses during liquid transport over uneven terrains.
High-precision robotic manipulation in industrial cyber–physical systems requires control strategies capable of maintaining smooth, disturbance-resilient motion under model uncertainties, payload variations, and external perturbations. This need is especially pronounced in automated liquid-handling workflows such as re...
Shifa Sulaiman, Francesco Schetter, T. Jensen et al.· IEEE Access· 0 citations
The proposed FTSMC achieves the lowest Integral Squared Error, Integral Absolute Error, and Root Mean Square Error among the compared methods, reducing the ISE by up to a factor of 287, the IAE by up to a factor of 11, and the RMSE by up to a factor of 17.
Saim Ahmed, Z. Haider, A. T. Azar· An International Journal of...· 0 citations
Numerical simulations demonstrate superior tracking accuracy and disturbance rejection capability compared to conventional adaptive neural DSC without disturbance observers, validating the effectiveness and robustness of the proposed scheme.
Xian Pan, Dong-Xue Wang, You-Wu Liu et al.· PLoS ONE· 0 citations
Research on suspension control continues to face challenges associated with nonlinear dynamics and uncertainties, degraded convergence properties, and the chattering phenomenon that may accelerate mechanical wear and increase control input. This article proposes an optimal robust control architecture to enhance the p...
T. Nguyen· Proceedings of the Instituti...· 0 citations
To address the robust formation maneuvering control problem of multi-omnidirectional robot systems under the combined effects of the roller effect and ground friction, this paper proposes a composite disturbance-rejection robust control architecture integrating a hierarchical observer and a sliding mode controller. Fir...
Yang Liu, Xu-Dong Zhao, Xiang Liu et al.· IEEE Transactions on Automat...· 0 citations
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