Robust Trajectory Tracking Error Model-Based Predictive Control for Unmanned Ground Vehicles
arXiv:2103.16782 · doi:10.1109/TMECH.2015.2492984
Abstract
This paper proposes a new robust trajectory tracking error-based control approach for unmanned ground vehicles. A trajectory tracking error-based model is used to design a linear model predictive controller and its control action is combined with feedforward and robust control actions. The experimental results show that the proposed control structure is capable to let a tractor-trailer system track both linear and curvilinear target trajectories with low tracking error.
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Cited by in corpus (5)
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- Feedback Linearization Control for Systems with Mismatched Uncertainties via Disturbance Observers
- Sliding Mode Control for Systems with Mismatched Time-Varying Uncertainties via a Self-Learning Disturbance Observer