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Design of an active device for controlling lateral stability of fast mobile robot

Published online by Cambridge University Press:  15 April 2015

M. Krid ,
F. Benamar  and
Z. Zamzami
M. Krid*
Affiliation:
Industrial Engineering, College of Engineering, King Saud University, Riyadh, KSA
F. Benamar
Affiliation:
Sorbonne Universités, UPMC University, Paris 06, UMR 7222, Institut des Systèmes Intelligents et Robotiques ISIR, F-75005, Paris, France. E-mails: [email protected], [email protected] CNRS, UMR 7222, ISIR, F-75005, Paris, France
Z. Zamzami
Affiliation:
Sorbonne Universités, UPMC University, Paris 06, UMR 7222, Institut des Systèmes Intelligents et Robotiques ISIR, F-75005, Paris, France. E-mails: [email protected], [email protected]
*
*Corresponding author. E-mail: [email protected]
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Summary

Motivated by the trade-off between speed and stability for off-road navigation, a novel active anti-roll system has been developed in the context of a multidisciplinary project which aims at developing a high-speed and agile autonomous off-road rover. This paper presents the design, simulation and experimental validation of an active anti-roll system and its associated control. The proposed system possess the advantage of having a modular design that can be installed on any off-road chassis with independent suspensions. The proposed system controls directly the roll angle of the rover which is usually uncontrollable in conventional vehicles, hence improving off-road stability while maneuverings at high speed over uneven terrain. Furthermore, the control of the proposed active anti-roll system is based on a model predictive control (MPC) for the roll dynamics, which minimizes the load transfer during cornering and the energy consumed by the actuators. The control model is based on a dynamic model of the rover and on a stability criteria defined by the lateral load transfer (LLT). Moreover, this paper presents, simulation results from the high fidelity virtual platform modeled in MSC.Adams ®, as well as, results from recent field tests demonstrating the effectiveness of a hydraulic active anti-roll system mounted on, an especially developed experimental platform, SPIDO ROBOT while cornering at a high speed reaching 8 m/s.

Keywords

Active anti-Roll systemRoll dynamicsVehicle stabilityLateral load transfer stability criterion
Type
Articles
Information
Robotica , Volume 34 , Issue 11 , November 2016 , pp. 2629 - 2651
Copyright
Copyright © Cambridge University Press 2015 

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References

1. Richier, M., Lenain, R., Thuilot, B. and Debain, C., “Dual Back-Stepping Observer to Anticipate the Rollover Risk in Under/Over-Steering Situations. Application to atvs in Off-Road Context,” IEEE/RSJ International Conference Intelligent Robots and Systems, IROS, Vilamoura-Algarve, Portugal (2012) pp. 5387–5393.Google Scholar
2. Lucet, E., Grand, C., Salle, D. and Bidaud, P., “Stabilization Algorithm for a High Speed Car-Like Robot Achieving Steering Maneuver,” IEEE International Conference Robotics and Automation, ICRA, Pasadena, California (2008) pp. 2540–2545.Google Scholar
3. Bouton, N., Lenain, R., Thuilot, B. and Martinet, P., “An Active Anti-Rollover Device based on Predictive Functional Control: Application to an All-terrain Vehicle,” IEEE International Conference Robotics and Automation, ICRA, Kobe, Japan (2009) pp. 1309–1314.Google Scholar
4. Richier, M., Lenain, R., Thuilot, B. and Debain, C., “Rollover prevention system dedicated to ATVs on natural ground,” Appl. Mech. Mater. 162, 505–514 (2012).CrossRefGoogle Scholar
5. Benamar, F. and Grand, C., “Quasi-static motion simulation and slip prediction of articulated planetary rovers using a kinematic approach,” J. Mech. Robot. 5 (2), 13 (2013).Google Scholar
6. Bouton, N., Lenain, R., Thuilot, B. and Martinet, P., “A New Device Dedicated to Autonomous Mobile Robot Dynamic Stability: Application to an Off-Road Mobile Robot,” IEEE International Conference Robotics and Automation, ICRA, Anchorage, Alaska (2010) pp. 3813–3818.Google Scholar
7. Gaspar, P., Szabo, Z. and Bokor, J., “The Design of an Integrated Control System in Heavy Vehicles based on an lpv Method,” Proceedings of the 44th European Control Conference Decision and Control, Seville, Spain (2005) pp. 6722–6727.Google Scholar
8. Diaz-Calderon, A. and Kelly, A., “Development of a Terrain Adaptive Stability Prediction System for Mass Articulating Mobile Robots,” In: Field and Service Robotics (Yuta, S., Asama, H., Prassler, E., Tsubouchi, T. and Thrun, S., eds.), Springer Tracts in Advanced Robotics, vol. 24 (Springer, Berlin Heidelberg, 2006) pp. 343–354.Google Scholar
9. Spenko, M., Kuroda, Y., Dubowsky, S. and K., I., “Hazard avoidance for high-speed mobile robots in rough terrain,” J. Field Robot. 23 (5), 311–331 (2006).Google Scholar
10. Palmieri, G., Falcone, P., Tseng, H. and Glielmo, L., “A Preliminary Study on the Effects of Roll Dynamics in Predictive Vehicle Stability Control,” Proceedings of the 47th IEEE Conference Decision and Control, CDC, Cancun, Mexico (2008) pp. 5354–5359.Google Scholar
11. Zhao, C., Xiang, W. and Richardson, P., “Vehicle Lateral Control and Yaw Stability Control through Differential Braking,” IEEE International Symposium on Industrial Electronics, vol. 1 (2006) pp. 384–389.Google Scholar
12. Seo, Y., Choi, J. and Duan, G., “Lateral Vehicle Control Using the CCV Mode Control,” Control Conference, CCC, Chinese (2006) pp. 41–46.Google Scholar
13. Thrun, S., Montemerlo, M., Dahlkamp, H., Stavens, D., Aron, A., Diebel, J., Fong, P., Gale, J., Halpenny, M., Hoffmann, G., Lau, K., Oakley, C., Palatucci, M., Pratt, V., Stang, P., Strohband, S. Dupont, C., Jendrossek, L.-E., Koelen, C., Markey, C., Rummel, C., van Niekerk, J., Jensen, E. Alessandrini, P., Bradski, G., Davies, B., Ettinger, S., Kaehler, A., Nefian, A. and Mahoney, P., “Winning the darpa grand challenge,” J. Field Robot., 23 (9), 655–656 (September 2006).CrossRefGoogle Scholar
14. Schramm, D., Hiller, M. and Bardini, R., “Force Components,” In: Vehicle Dynamics (Springer, Berlin Heidelberg, 2014), pp. 216–219.CrossRefGoogle Scholar
15. Zolotas, A. C., Advanced Control Strategies for Tilting Trains Phd, (Loughborough University, Leicestershire, UK, 2002).Google Scholar
16. Gohl, J., Rajamani, R., Alexander, L. and Starr, P., “Active roll mode control implementation on a narrow tilting vehicle,” Vehicle Syst. Dyn. 42 (5), 347–372 (2004).Google Scholar
17. Els, P. S., Theron, N. J., Uys, P. E. and Thoresson, M. J., “The ride comfort vs. handling compromise for off-road vehicles,” J. Terramech. 44 (4), 303–317 (2007).Google Scholar
18. Scharfenbaum, I., Fratini, A. and Prokop, G., “A Novel Method for the Development of an Idealised Active Roll Stabilisation System Model,” IEEE International Conference on Systems, Man, and Cybernetics (Oct. 2013) pp. 4499–4504.Google Scholar
19. Zhou, S. and Zhang, S., “Semi-active Control on Leaf Spring Suspension based on smc,” Control and Decision Conference, CDC, Chinese (2010) pp. 1462–1466.Google Scholar
20. Kou, F. and Fang, Z., “An Experimental Investigation into the Design of Vehicle Fuzzy Active Suspension,” IEEE International Conference Automation and Logistics (2007) pp. 959–963.Google Scholar
21. Fleming, B., “An overview of advances in automotive electronics [automotive electronics],” Vehicular Technology Magazine, IEEE 9 (1), 4–9 (2014).Google Scholar
22. Sampson, D., “Active roll control of articulated heavy vehicles,” Ph.D. Thesis Engineering department, Cambridge University, Cambridge UK (2002).Google Scholar
23. Miège, A., “Active Roll Control of an Experimental Articulated Vehicle” Ph.D. Thesis (Engineering Department, Cambridge University, UK. Oct. 2003).Google Scholar
24. Jones, W. D., “Easy ride: Bose corp. uses speaker technology to give cars adaptive suspension,” IEEE Spectr. 42 (5) 12–14 (2005).Google Scholar
25. He, P., Wang, Y., Zhang, Y., Liu, Y. and Xu, Y., “Integrated Control of Semiactive Suspension and Vehicle Dynamics Control System,” International Conference on Computer Application and System Modeling (ICCASM), vol. 5 (2010) pp. 63–68.Google Scholar
26. Gysen, B. L. J., van der Sande, T. P. J., Paulides, J. J. H. and Lomonova, E. A., “Efficiency of a regenerative direct-drive electromagnetic active suspension,” IEEE Trans. Veh. Tech. 60 (4), 1384–1393 (2011).Google Scholar
27. Wang, L., Zhang, N. and Du, H., “Experimental investigation of a hydraulically interconnected suspension in vehicle dynamics and stability control,” Technical report, SAE Technical Paper (2012).Google Scholar
28. Berote, J., “Dynamics and control of a tilting three wheeled vehicle,” Submitted for the degree of Doctor of Philosophy of the University of Bath, 2010.Google Scholar
29. Abbassi, Y., Contribution à la modélisation et à la commande de la dynamique du véhicule Ph.D. Thesis (Université de Technologie Belfort-Montbéliard/Université de Franche-Comté, 2007).Google Scholar
30. Wong, J., Terramechanics and Off-Road Vehicles (Elsevier, 1989).Google Scholar
31. Brad, S., Tore, H. and Anders, R., “Vehicle Dynamics Control and Controller Allocation for Rollover Prevention,” IEEE International Conference on Control Application (Oct. 2006) pp. 149–154.Google Scholar
32. Pacejka, H., Tyre and Vehicle Dynamics (Butterworth-Heinemann, 2002).Google Scholar
33. Bouton, N., Lenain, R., Thuilot, B. and Fauroux, J.-C., “A Rollover Indicator based on the Prediction of the Load Transfer in Presence of Sliding: Application to an all Terrain Vehicle,” IEEE International Conference Robotics and Automation, ICRA (2007) pp. 1158–1163.Google Scholar
34. Lenain, R., Thuilot, B., Cariou, C. and Martinet, P., “Mixed kinematic and dynamic sideslip angle observer for accurate control of fast off-road mobile robots,” J. Field Robot. 27 (2), 181–196 (2010).Google Scholar