Select-Low and Select-High Methods for the Wheeled Robot Dynamic States Control
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32797
Select-Low and Select-High Methods for the Wheeled Robot Dynamic States Control

Authors: Bogusław Schreyer

Abstract:

The paper enquires on the two methods of the wheeled robot braking torque control. Those two methods are applied when the adhesion coefficient under left side wheels is different from the adhesion coefficient under the right side wheels. In case of the select-low (SL) method the braking torque on both wheels is controlled by the signals originating from the wheels on the side of the lower adhesion. In the select-high (SH) method the torque is controlled by the signals originating from the wheels on the side of the higher adhesion. The SL method is securing stable and secure robot behaviors during the braking process. However, the efficiency of this method is relatively low. The SH method is more efficient in terms of time and braking distance but in some situations may cause wheels blocking. It is important to monitor the velocity of all wheels and then take a decision about the braking torque distribution accordingly. In case of the SH method the braking torque slope may require significant decrease in order to avoid wheel blocking.

Keywords: Select-high method, select-low method, torque distribution, wheeled robot.

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 429

References:


[1] B.J. Schreyer, „An Inquiry on 2-Mass and Wheeled Mobile Robot Dynamics”, ICMARE 2016, 18th International Conference on Mechanical, Automobile and Robotics Conference, Barcelona, Spain, August 11-12, 2016.
[2] B. D. Andrea-Novel, G. Bastin, G. Campion, „Modelling and Control of Non Holonomic Wheeled Moble Robots”, Proceedings of the 1991 IEEE, International Conference on Robotics and Automation, Sacramento, California-April 1991, pp1130-1135
[3] C. Samson, K. Ait Abderrahim, „Mobile robot control. Part1: Feedback control of non-holonomic wheeled cart in Cartesian space”. Internal report, INRIA, Sophia-Antipolis, France, 1990.
[4] B.J. Schreyer, „Dynamics of braking vehicle”, Internal Technical report.
[5] A.Y.Ungoren, H. Peng, and H. E. Tseng, „A study on lateral speed estimation methods,”Int. J. Veh. Auton. Syst., vol. 2, no. 1¡2, pp.126¡144, Jul. 2004.
[6] H. F. Grip, L. Imsland, T. A. Johansen, T. I. Fossen, J. C. Kalkkuhl, and A. Suissa, „Nonlinear vehicle side-slip estimation with friction adaptation, “Automatica”, vol. 44, no. 3, pp. 611¡622, Mar. 2008.
[7] http://www.racer.nl/reference/pacejka.htm#:~:text=Some%20interpretations%20for%20the%20Pacejka,apart%20from%20Sh%2C%20Sv).
[8] B. Choi, “Antilock brake system with a continuous wheel slip control to maximize the braking performance and the ride quality,” IEEE Transactions on Control Systems Technology, vol. 16, no. 5, pp. 996 – 1003, 2008.
[9] C. Mi, H. Lin, and Y. Zhang, “Iterative learning control of antilock braking of electric and hybrid vehicles,” IEEE Transactions on Vehicular Technology, vol. 54, no. 2, pp. 486–494, 2005.
[10] C. Canudas-de Wit and R. Horowitz, “Observers for tire/road contact friction using only wheel angular velocity information,” in Proceedings of the IEEE Conference on Decision and Control, vol. 4, Phoenix, AZ, USA, 1999, pp. 3932 – 3937.