Authors

Junjie Gong, Shengjie Guo, Haotian Shen, Wei Wei, Yu Long

Abstract

Path-tracking control represents a crucial technology for achieving autonomous driving in tracked vehicles. This paper presents a novel cascade control approach based on a port-controlled Hamiltonian model that incorporates position, velocity, and flow loops to improve the robustness and stability of path-tracking in tracked vehicles. Firstly, the nonlinear kinematic model undergoes an equivalent transformation to tackle the challenge of converting the hydraulic-tracked vehicle kinematic model into a port-controlled Hamiltonian model. The effectiveness of this substitution is evaluated through a phase portrait analysis. Subsequently, an interconnection and damping assignment passivity-based controller is formulated to achieve position control and generate a desired velocity reference. Leveraging the dynamics of the tracked vehicle, a velocity controller is developed to calculate the desired vehicle torque and hydraulic motor angular velocity, facilitating velocity tracking. Flow control is realized through a novel passivity-based L2-gain robust control method designed in conjunction with the port-controlled Hamiltonian model. This method empowers the electro-hydraulic servo system to track the desired angular velocity at the expected torque, mitigating the adverse impact of the electro-hydraulic servo system on the tracking performance of tracked vehicles. Finally, a comprehensive comparison is made with two existing control strategies. The results show that the overall performance of the controller is improved by 20.3% and 10.92%, and the tracking accuracy is improved by 15.01% and 5.97%, respectively.

Citation

  • Journal: IEEE Transactions on Intelligent Vehicles
  • Year: 2025
  • Volume: 10
  • Issue: 1
  • Pages: 654–667
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • DOI: 10.1109/tiv.2024.3417213

BibTeX

@article{Gong_2025,
  title={{Path-Tracking Cascade Control of Hydraulic- Tracked Vehicles Based on Port-Controlled Hamiltonian Model}},
  volume={10},
  ISSN={2379-8858},
  DOI={10.1109/tiv.2024.3417213},
  number={1},
  journal={IEEE Transactions on Intelligent Vehicles},
  publisher={Institute of Electrical and Electronics Engineers (IEEE)},
  author={Gong, Junjie and Guo, Shengjie and Shen, Haotian and Wei, Wei and Long, Yu},
  year={2025},
  pages={654--667}
}

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References