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Advances in Automated Valet Parking Systems

Strategic Insights

— 1 min read

Researchers from Hefei University of Technology in China have made significant progress in the development of automated valet parking systems based on parking automated guided vehicles (P-AGVs). This innovation has the potential to improve parking convenience and increase parking density. With the ability to move towards any position and attain any orientation simultaneously due to their mecanum wheels, P-AGVs can efficiently transport vehicles in a parking lot.

Key Takeaways:

  • The research team proposed a nonlinear disturbance observer-based sliding mode controller for the trajectory tracking problem of a P-AGV, which improved trajectory tracking stability by 42-68% compared to a traditional controller.
  • The controller was designed to estimate disturbing forces and torques generated by the caster wheels and track reference trajectories, enhancing the accuracy of trajectory tracking.
  • The proposed control scheme was theoretically verified using Lyapunov functions, demonstrating its stability and effectiveness.
  • Simulations and experiments showed that the proposed controller can improve trajectory tracking stability, making it a promising solution for automated valet parking systems.
  • The research received financial support from the National Key R&D Program of China and was published in the Chinese Journal of Mechanical Engineering.
  • The lead author of the study is Bo Zhu from Hefei University of Technology, with additional authors Xudong Hu, Dongkui Tan, and Nong Zhang.

Statistics:

  • The proposed NDO-NTSM controller improved trajectory tracking stability by 42-68% compared to a traditional NTSM controller.
  • The research was supported by the National Key R&D Program of China.
  • The publication date of the study is 2025.
  • The study was conducted at Hefei University of Technology in China.

Sources:

  • Trajectory Tracking Control of Parking Automated Guided Vehicles Using Nonlinear Disturbance Observer-based Sliding Mode. Chinese Journal of Mechanical Engineering, 2025; 38(1).
  • Springer, One New York Plaza, Suite 4600, New York, Ny, United States (www.springer.com; www.springerlink.com/content/1000-9345/).
  • Hefei University of Technology, School of Automotive and Transportation Engineering, Hefei 230009, People's Republic of China (Bo Zhu).

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