Coordinated Control of Hydraulic Distributed Drive in an All-Terrain Tracked Vehicle Under Articulated Steering Constraints

Coordinating four independent hydrostatic circuits in a dual-body articulated all-terrain tracked vehicle requires track-speed allocation accommodating articulation kinematics and propulsion-load distribution. Geometric speed matching alone can concentrate propulsion loads on the front body, induce rear-body drag and track slip, and elevate circuit pressure differences. This study proposes differential-projection coordinated control (DPCC) to address this coupling. Nominal four-track speeds incorporating body sideslip are derived from articulation-point velocity compatibility, and circuit pressure deviations drive load redistribution through bounded zero-sum projection. Conditions for conservation of the target track-speed sum and bounded differential-speed deviations are established, elucidating load imbalance under geometric matching and load redistribution through small track-speed adjustments. Simulations at 0–30° show that DPCC reduces peak circuit pressure difference and root-mean-square (RMS) slip ratio at all six nonzero steady-state articulation angles relative to conventional geometric differential control. At 30°, peak pressure difference decreases from 34.16 to 15.55 MPa, RMS slip ratio from 0.59% to 0.40%, and RMS vehicle-speed error by 74.05%, while average rear-body drag becomes forward propulsion. A full-scale steering test at 10° and 5.00 m/s supports the feasibility of DPCC and shows the higher outer-circuit pressures predicted by simulation. Experimental observations and multi-condition simulations jointly support the proposed coordination mechanism.

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Publication Details

Journal
Machines
Published
2026-11-11
DOI
https://doi.org/10.3390/machines14111333
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
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article

Coordinated Control of Hydraulic Distributed Drive in an All-Terrain Tracked Vehicle Under Articulated Steering Constraints

Huanhuan Wang, Dongliang Chen, Zhipeng Ma, Haibo Mo et al.
Machines
Vehicle Dynamics and Control Systems
article

Coordinated Control of Hydraulic Distributed Drive in an All-Terrain Tracked Vehicle Under Articulated Steering Constraints

Huanhuan Wang, Dongliang Chen, Zhipeng Ma, Haibo Mo, Zhiqi Liu, Wei Chen, Zhanlong Li
article en

Abstract

Coordinating four independent hydrostatic circuits in a dual-body articulated all-terrain tracked vehicle requires track-speed allocation accommodating articulation kinematics and propulsion-load distribution. Geometric speed matching alone can concentrate propulsion loads on the front body, induce rear-body drag and track slip, and elevate circuit pressure differences. This study proposes differential-projection coordinated control (DPCC) to address this coupling. Nominal four-track speeds incorporating body sideslip are derived from articulation-point velocity compatibility, and circuit pressure deviations drive load redistribution through bounded zero-sum projection. Conditions for conservation of the target track-speed sum and bounded differential-speed deviations are established, elucidating load imbalance under geometric matching and load redistribution through small track-speed adjustments. Simulations at 0–30° show that DPCC reduces peak circuit pressure difference and root-mean-square (RMS) slip ratio at all six nonzero steady-state articulation angles relative to conventional geometric differential control. At 30°, peak pressure difference decreases from 34.16 to 15.55 MPa, RMS slip ratio from 0.59% to 0.40%, and RMS vehicle-speed error by 74.05%, while average rear-body drag becomes forward propulsion. A full-scale steering test at 10° and 5.00 m/s supports the feasibility of DPCC and shows the higher outer-circuit pressures predicted by simulation. Experimental observations and multi-condition simulations jointly support the proposed coordination mechanism.

MachinesVol. 14(11)
Shanxi Vocational University of Engineering Science and Technology (CN), Taiyuan University of Science and Technology (CN)
Vehicle Dynamics and Control Systems
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