Model predictive allocation control for leg-wheel mobile robot on loose soil considering wheel dynamics

Takatsugu Oda
Mechanical systems engineering, Tokyo city university, Japan

Hiroki Yoshikawa
Mechanical systems engineering, Tokyo city university, Japan

Naoki Shibata
Mechanical systems engineering, Tokyo city university, Japan

Kenichiro Nonaka
Mechanical systems engineering, Tokyo city university, Japan

Kazuma Sekiguchi
Mechanical systems engineering, Tokyo city university, Japan

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp18148240

Ingår i: Proceedings of the 2nd Japanese Modelica Conference, Tokyo, Japan, May 17-18, 2018

Linköping Electronic Conference Proceedings 148:33, s. 240-244

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Publicerad: 2019-02-21

ISBN: 978-91-7685-266-8

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


For the planetary exploration rover, to cope with the layer of heterogeneous superficial deposits called regolith is important so as to achieve designed traction. In order to consider effects of wheel motion, model predictive allocation control is proposed. To cope with complex terramechanics in MPC (model predictive control), the identification technique is introduced; the proposed MPC is formed as a linear optimization problem. The rover model and terramechanics are described using model-ica and simulate to evaluate the performance of the proposed method. The suppressed of superfluous slip and enhancement of traction performance is numerically shown.


Terramechanics, Allocation control, Model predictive control, Model identification.


Karl Iagnemma and Steven Dubowsky. Traction control of wheeled robotic vehicles in rough terrain with application to planetary rovers. The international Journal of robotics research, 23(10-11):1029–1040, 2004.

Genya Ishigami, Akiko Miwa, Keiji Nagatani, and Kazuya Yoshida. Terramechanics-based model for steering maneu-ver of planetary exploration rovers on loose soil. Journal of Field robotics, 24(3):233–250, 2007.

Rainer Krenn, Andreas Gibbesch, Giovanni Binet, and Alberto Bemporad. Model predictive traction and steering control of planetary rovers. 2013.

C Senatore and C Sandu. Off-road tire modeling and the multi-pass effect for vehicle dynamics simulation. Journal of Terramechanics, 48(4):265–276, 2011.

Sh Taheri, C Sandu, S Taheri, E Pinto, and D Gorsich. A tech nical survey on terramechanics models for tire–terrain interaction used in modeling and simulation of wheeled vehicles. Journal of Terramechanics, 57:1–22, 2015.

CRWeisbin, D Lavery, and G Rodriguez. Robotics technology for planetary missions into the 21st century. 1997.

Kazuya Yoshida and Hiroshi Hamano. Motion dynamics and control of a planetary rover with slip-based traction model. In Unmanned Ground Vehicle Technology IV, volume 4715, pages 275–287. International Society for Optics and Photonics, 2002.

Hiroki Yoshikawa, Takatsugu Oda, Kenichiro Nonaka, and Kazuma Sekiguchi. Modeling and simulation of wheel driving systems based on terramechanics for planetary explanation rover using modelica. In Proceedings of the 12th International Modelica Conference, number 132, pages 901–907. Linköping University Electronic Press, 2017.

Li Zhengcai and Wang Yang. Robust adaptive fuzzy control for planetary rovers while climbing up deformable slopes with longitudinal slip. Advances in Aerospace Engineering, 2014, 2014.

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