Loading [MathJax]/extensions/MathMenu.js
Safety-Guaranteed Oversized Cargo Cooperative Transportation With Closed-Form Collision-Free Trajectory Generation and Tracking Control | IEEE Journals & Magazine | IEEE Xplore

Safety-Guaranteed Oversized Cargo Cooperative Transportation With Closed-Form Collision-Free Trajectory Generation and Tracking Control


Abstract:

In this article, the trajectory generation and motion control of autonomous driving oversized cargo cooperative transportation systems (CTS) in static but bounded environ...Show More

Abstract:

In this article, the trajectory generation and motion control of autonomous driving oversized cargo cooperative transportation systems (CTS) in static but bounded environment is investigated. Different from common vehicle systems, the challenges lie on the safety-guaranteed cooperation of independently controlled carriers with inherent connections brought by the rigid payload, which results in complex system dynamics and multiple time-variant uncertainties. A constraint-oriented “leader-follower” modeling and control framework is introduced, and a trajectory generation method based on the diffeomorphism is creatively proposed to generate closed-form collision-free trajectory for the payload in the bounded environment. To achieve safety-guaranteed trajectory following under uncertainties, a transformed adaptive robust control strategy (TARC) is designed through constraint relaxation, and the coordination of the carriers is realized. An implementation with comprehensive ablation studies demonstrates the effectiveness of our trajectory generation and tracking control framework. The collision-free trajectory set is efficiently generated, and the CTS can be kept strictly inside the safe corridor with high tracking accuracy, which is extremely hard for the baseline methods.
Published in: IEEE Transactions on Intelligent Transportation Systems ( Volume: 25, Issue: 12, December 2024)
Page(s): 20162 - 20174
Date of Publication: 21 October 2024

ISSN Information:

Funding Agency:

References is not available for this document.

I. Introduction

Oversized cargo transportation has been applied in many fields of industries such as construction, manufacturing and energy. When the payload is too large or heavy for one carrier to transport, multi-vehicle cooperative transportation systems (CTS) are used to “move large object with relative small agents” [1], as shown in Fig. 1. However, it is difficult for human drivers to coordinate with each other due to the hard connections between the vehicle carriers and the payload, resulting in problems of transportation safety and efficiency. In the past few years, the prosperity of automation technology has inspired researchers to develop autonomous CTS [2], [3]. It is expected that the self-driving capability has the potential of increasing the transportation efficiency and avoid potential accidents [4].

Multi-vehicle cooperative transportation of oversized cargo.

Select All
1.
E. Tuci, M. H. M. Alkilabi and O. Akanyeti, "Cooperative object transport in multi-robot systems: A review of the state-of-the-art", Frontiers Robot. AI, vol. 5, pp. 59, May 2018.
2.
Z. Feng, G. Hu, Y. Sun and J. Soon, "An overview of collaborative robotic manipulation in multi-robot systems", Annu. Rev. Control, vol. 49, pp. 113-127, Jun. 2020.
3.
H. Farivarnejad and S. Berman, "Multirobot control strategies for collective transport", Annu. Rev. Control Robot. Auto. Syst., vol. 5, no. 1, pp. 205-219, May 2022.
4.
D. Henrich and H. Wörn, Robot Manipulation of Deformable Objects, London, U.K.:Springer, 2012.
5.
D. Milutinovic and J. Rosen, Redundancy in Robot Manipulators and Multi-robot Systems, Berlin, Germany:Springer, 2013.
6.
M. Cai et al., "Multi-lane unsignalized intersection cooperation with flexible lane direction based on multi-vehicle formation control", IEEE Trans. Veh. Technol., vol. 71, no. 6, pp. 5787-5798, Jun. 2022.
7.
Q. Sun, X. Wang, G. Yang, Y.-H. Chen and F. Ma, "Adaptive robust formation control of connected and autonomous vehicle swarm system based on constraint following", IEEE Trans. Cybern., vol. 53, no. 7, pp. 4189-4203, Jul. 2023.
8.
B. Wang, R. Su, L. Huang, Y. Lu and N. Zhao, "Distributed cooperative control and optimization of connected automated vehicles platoon against cut-in behaviors of social drivers", IEEE Trans. Autom. Control, May 2024.
9.
T. Lee, "Geometric control of quadrotor UAVs transporting a cable-suspended rigid body", IEEE Trans. Control Syst. Technol., vol. 26, no. 1, pp. 255-264, Jan. 2018.
10.
S. Yang, J. Han, L. Xia and Y.-H. Chen, "Adaptive robust servo constraint tracking control for an underactuated quadrotor UAV with mismatched uncertainties", ISA Trans., vol. 106, pp. 12-30, Nov. 2020.
11.
P. J. From, J. T. Gravdahl and K. Y. Pettersen, Vehicle-manipulator Systems, London, U.K.:Springer, 2016.
12.
R. M. Murray, Z. Li and S. S. Sastry, A Mathematical Introduction to Robotic Manipulation, Boca Raton, FL, USA:CRC Press, 2017.
13.
F. Caccavale and M. Uchiyama, "Cooperative manipulation" in Springer Handbook of Robotics, Cham, Switzerland:Springer, pp. 989-1006, 2016.
14.
T. Meng et al., "Improved hybrid A-star algorithm for path planning in autonomous parking system based on multi-stage dynamic optimization", Int. J. Automot. Technol., vol. 24, no. 2, pp. 459-468, Apr. 2023.
15.
Q. Dong, Z. Yan, K. Nakano, X. Ji and Y. Liu, "Graph-based scenario-adaptive lane-changing trajectory planning for autonomous driving", IEEE Robot. Autom. Lett., vol. 8, no. 9, pp. 5688-5695, Sep. 2023.
16.
V. Spurny, M. Petrlik, V. Vonasek and M. Saska, "Cooperative transport of large objects by a pair of unmanned aerial systems using sampling-based motion planning", Proc. 24th IEEE Int. Conf. Emerg. Technol. Factory Autom. (ETFA), pp. 955-962, Sep. 2019.
17.
A. Yamashita, T. Arai, J. Ota and H. Asama, "Motion planning of multiple mobile robots for cooperative manipulation and transportation", IEEE Trans. Robot. Autom., vol. 19, no. 2, pp. 223-237, Apr. 2003.
18.
H. Wang, Y. Huang, A. Khajepour, Y. Zhang, Y. Rasekhipour and D. Cao, "Crash mitigation in motion planning for autonomous vehicles", IEEE Trans. Intell. Transp. Syst., vol. 20, no. 9, pp. 3313-3323, Sep. 2019.
19.
H. Wang et al., "Risk assessment and mitigation in local path planning for autonomous vehicles with LSTM based predictive model", IEEE Trans. Autom. Sci. Eng., vol. 19, no. 4, pp. 2738-2749, Oct. 2022.
20.
F. Huzaefa and Y.-C. Liu, "Force distribution and estimation for cooperative transportation control on multiple unmanned ground vehicles", IEEE Trans. Cybern., vol. 53, no. 2, pp. 1335-1347, Feb. 2023.
21.
P. Culbertson, J.-J. Slotine and M. Schwager, "Decentralized adaptive control for collaborative manipulation of rigid bodies", IEEE Trans. Robot., vol. 37, no. 6, pp. 1906-1920, Dec. 2021.
22.
C. He, K. Huang, X. Chen, Y. Zhang and H. Zhao, "Transportation control of cooperative double-wheel inverted pendulum robots adopting udwadia-control approach", Nonlinear Dyn., vol. 91, no. 4, pp. 2789-2802, Mar. 2018.
23.
C.-F. Juang, C.-H. Lu and C.-A. Huang, "Navigation of three cooperative object-transportation robots using a multistage evolutionary fuzzy control approach", IEEE Trans. Cybern., vol. 52, no. 5, pp. 3606-3619, May 2022.
24.
S. Yang, J. Han, L. Xia and Y.-H. Chen, "An optimal fuzzy-theoretic setting of adaptive robust control design for a lower limb exoskeleton robot system", Mech. Syst. Signal Process., vol. 141, Jul. 2020.
25.
K. Huang, C. Ma, C. Li and Y.-H. Chen, "High-order robust control and Stackelberg game-based optimization for uncertain fuzzy PMSM system with inequality constraints", ISA Trans., vol. 134, pp. 451-459, Mar. 2023.
26.
G. Antonelli, "Underwater robots" in Encyclopedia of Systems and Control, Berlin, Germany:Springer, pp. 2384-2388, 2021.
27.
B. Zhang, J. Huang, Y. Su, Y.-H. Chen, D. Yang and Z. Zhong, "Distributed collaborative control of multi-vehicle autonomous cooperative transportation systems: A hierarchical constraint-following approach", IEEE Trans. Intell. Transp. Syst., vol. 25, no. 5, pp. 4251-4264, May 2024.
28.
G. Rigatos and K. Busawon, Robotic Manipulators and Vehicles: Control Estimation and Filtering, London, U.K.:Springer, vol. 152, 2018.
29.
Z. Yang, J. Huang, H. Yin, D. Yang and Z. Zhong, "Path tracking control for underactuated vehicles with matched-mismatched uncertainties: An uncertainty decomposition based constraint-following approach", IEEE Trans. Intell. Transp. Syst., vol. 23, no. 8, pp. 12894-12907, Oct. 2021.
30.
M. Corless and G. Leitmann, "Continuous state feedback guaranteeing uniform ultimate boundedness for uncertain dynamic systems", IEEE Trans. Autom. Control, vol. AC-26, no. 5, pp. 1139-1144, Oct. 1981.

Contact IEEE to Subscribe

References

References is not available for this document.