Implementation of Indoor Wireless Positioning System in an Omni-Wheel Robot Based on Gyroscope

Abstract:

The aims of this paper realize an indoor location system on the navigation of the self-made omni-wheel robot, and use gyroscope to overcome the path deviation problem of travelling omni-wheel robot to make the moving path more accurate. This system includes two parts, the indoor location system algorithm and the control of omni-wheel robot. The gyroscope is adapted to detect the angular speed of vehicle in moving which causes by the external influence factor, using it to control the Omni-wheel robot moving in real time. At the same time, angular velocity integral is the offset from the direction and angle of deflection to control the robot. The result of the experiment using the embedded system-ARM7 is verified. The moving behavior of Omni-wheel robot can be corrected by the gyroscope that occur when vehicles go head deflection problem. The high accuracy positioning information is provided by the indoor wireless positioning system. It also reaches a large flexibility in the space in which automatic guidance within an acceptable range and the required accuracy of losing the position. In this research, one kind of efficient location system by using gyroscope to help the navigation of Omni-wheel robot is realized. And, this structure can make the moving path of Omni-wheel robot to achieve more accurately.

• Periodical: Advanced Materials Research (Volumes 482-484)
• Pages: 126-135
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.482-484.126
• Online since: February 2012
• Authors: Jia Shing Sheu, Yi Shiang Wang, Tsong Liang Huang
• Keywords: Cricket Indoor Location System, Embedded System, Gyroscope, Omni-Wheel Robot

References

[1] N.B. Priyantha, The Cricket Indoor Location System, Massachusetts Institute of Technology, (2005)

[2] N.B. Priyantha, A. Chakraborty, and H. Balakrishnan, The Cricket location-support system, in Proceedings of the 6th annual international conference on Mobile computing and networking Boston, Massachusetts, United States: ACM, (2000)

DOI: 10.1145/345910.345917

[3] A. Smith, H. Balakrishnan, M. Goraczko, and N. Priyantha, Tracking Moving Device with the Cricket Location System, in Proceeding of the 2nd international conference on Mobile systems, applications, and services Boston, MA, USA:ACM, (2004)

DOI: 10.1145/990064.990088

[4] J. Aranda, A. Grau and J. Climent, Control architecture for a three-wheeled roller robot, The 5th International Workshop on Advanced Motion Control, (1998), pp.518-523

DOI: 10.1109/amc.1998.743590

[5] K. Watanabe, Y. Shiraishi, S. Tzafestas, J. Tang and T. Fukuda, Feedback control of an Omni-directional autonomous platform for mobile service robots, Journal of Intelligent and Robot System, vol. 18, No.3, (2002).

DOI: 10.1007/978-94-011-4790-3_13

[6] R.L. Williams, B.E. Carter, P. Gallina and G. Rosati, Dynamic model with slip for wheeled Omni-directional robots, IEEE Transactions on Robotics and Automation, vol. 18, No 3, (2002).

DOI: 10.1109/tra.2002.1019459

[7] N.T. Kalmar, P. Ganguly and R. D'Andrea, Real-time trajectory generation for Omni-directional vehicles, Proceedings of the American Control Conference, vol. 1, (2002), pp.286-291.

[8] Yang, C.D., Principles and Practice of Automatic Flight Control, Chuan HuaPublishing, ISBN 957-21-3354-3

[9] David R. Lide. CRC Handbook of Chemistry and Physics. CRC Press, Boca Raton, FL, 85th edition, NPL Acoustics: Calculation of Speed of Sound in Air. (2005)

DOI: 10.1021/ja041017a

[10] O. Cramer. The Variation of the Specific Heat Ratio and the Speed of Sound in Air with Temperature, Pressure, Humidity, and CO2 Concentration, Acoustical Society of America Journal, May (1993), p.2510–2516.

DOI: 10.1121/1.405827

[11] R.S. Davis. Equation for the Determination of the Density of Moist Air (1981/91), Metrologia, Jan. (1992), p.67–70.

DOI: 10.1088/0026-1394/29/1/008

[12] N. B. Priyantha, The Cricket Indoor Location System, Department of Electrical Engineering and Computer Science in MIT, (2005).