Safety-Critical Control for Automated Trucks

Robust safety-critical controllers experimentally validated on highway-driving heavy-duty trucks · Navistar, Inc. (2021–2022)

In collaboration with Navistar, Inc., we designed and experimentally validated safety-critical controllers for heavy-duty automated trucks operating on public highways (estimated TRL 5–6). The project focused on improving the robustness of Control Barrier Function (CBF)-based controllers against real-world uncertainties such as sensor noise, communication delays, and aerodynamic disturbances.

Key contributions:

  • Disturbance observer-based CBFs to compensate dynamic uncertainties in real time
  • Input-to-state safe CBFs providing formal robustness guarantees
  • Hardware validation on a Class-8 truck platoon on public highways

Related publications: (Alan et al., 2023; Alan et al., 2023; Alan et al., 2022; Alan et al., 2023)

References

2023

  1. IEEE TCST
    Control barrier functions and input-to-state safety with application to automated vehicles
    Anil Alan, Andrew J. Taylor, Chaozhe R. He, and 2 more authors
    IEEE Transactions on Control Systems Technology, 2023
  2. IEEE L-CSS
    Disturbance observers for robust safety-critical control with control barrier functions
    Anil Alan, Tamás G. Molnár, Ersin Daş, and 2 more authors
    IEEE Control Systems Letters, 2023
  3. IEEE TIV
    Integrating safety with performance in connected automated truck control: experimental validation
    Anil Alan, Chaozhe R. He, Tamás G. Molnár, and 3 more authors
    IEEE Transactions on Intelligent Vehicles, 2023

2022

  1. IEEE L-CSS
    Safe controller synthesis with tunable input-to-state safe control barrier functions
    Anil Alan, Andrew J. Taylor, Chaozhe R. He, and 2 more authors
    IEEE Control Systems Letters, 2022