Path Planning and Smoothing for 4WDs Hydraulic Heavy-Duty Field Robots

Authors

  • Pekka Mäenpää Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland
  • Jouni Mattila Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland

DOI:

https://doi.org/10.13052/ijfp1439-9776.2413

Keywords:

Path planning, AI for hydraulic and pneumatic systems, efficient and intelligent fluid power systems

Abstract

This paper discusses the path planning and path-following control for a four wheel drive (4WD), steer-articulated boom lift driven by hydraulic actuators. The environment is assumed to be both static and known. The path planning will be done in two phases, where the first one finds a crude, collision-free path accounting for the vehicle dimensions, and this path will be smoothed with a path smoothing algorithm to satisfy the kinematic and dynamic constraints imposed by the vehicle and its actuators. The path smoothing algorithm will be chosen from several candidates by using a simulated test scenario. Then, the simulation results will be used to verify the path planners feasibility in heavy-duty, four-wheel-steered field robots having hydraulic actuators and high inertia.

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Author Biographies

Pekka Mäenpää, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland

Pekka Mäenpää Ph.D. student at Tampere University. Completed masters in Automation Technology 2021.

Jouni Mattila, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland

Jouni Mattila Dr. Tech. received his M.Sc. (Eng.) in 1995 and Dr. Tech. in 2000, both from the Tampere University of Technology (TUT), Tampere, Finland. He is currently a Professor of machine automation with the unit of Automation Technology and Mechanical Engineering, Tampere University. His research interests include machine automation, nonlinear model-based control of robotic manipulators and energy-efficient control of heavy-duty mobile manipulators.

References

S. M. LaValle, Planning algorithms. Cambridge university press, 2006.

B. Nagy and A. Kelly, “Trajectory generation for car-like robots using cubic curvature polynomials,” Field and Service Robots, vol. 11, 2001.

X. Bu, H. Su, W. Zou, and P. Wang, “Curvature continuous path smoothing based on cubic bezier curves for car-like vehicles,” in 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 1453–1458, IEEE, 2015.

H. Liikanen, M. M. Aref, R. Oftadeh, and J. Mattila, “Path-following controller for 4wds hydraulic heavy-duty field robots with nonlinear internal dynamics,” IFAC-PapersOnLine, vol. 52, no. 8, pp. 375–380, 2019.

M. Hyvönen, J. Vilenius, A. Vuohijoki, and K. Huhtala, “Mathematical model of the valve controlled skid steered mobile machine,” in The 2nd International Conference on Computational Methods in Fluid Power Technology FPNI’06, August 2–3, 2006 Aalborg University, Denmark, 2006.

R. Oftadeh, M. M. Aref, R. Ghabcheloo, and J. Mattila, “Bounded-velocity motion control of four wheel steered mobile robots,” in 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, pp. 255–260, July 2013.

B. Li and F. Yu, “Optimal model following control of four-wheel active steering vehicle,” in 2009 International Conference on Information and Automation, pp. 881–886, IEEE, 2009.

P. Mäenpää, M. Aref, and J. Mattila, “Formi: A fast holonomic path planning and obstacle representation method based on interval analysis,” in 2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), pp. 398–403, IEEE, 2019.

P. Krüsi, P. Furgale, M. Bosse, and R. Siegwart, “Driving on point clouds: Motion planning, trajectory optimization, and terrain assessment in generic nonplanar environments,” Journal of Field Robotics, vol. 34, no. 5, pp. 940–984, 2017.

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Published

2023-01-17

How to Cite

Mäenpää, P. ., & Mattila, J. . (2023). Path Planning and Smoothing for 4WDs Hydraulic Heavy-Duty Field Robots. International Journal of Fluid Power, 24(01), 59–76. https://doi.org/10.13052/ijfp1439-9776.2413

Issue

Section

GFPS 2020