Two Wheel Self Balancing Robot Using A Smart Phone

Authors

  • Patel Raj N.  Students, Electronics and communication, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Rajput Akshay J.  Students, Electronics and communication, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Upadhyaya Vraj A.  Students, Electronics and communication, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Bhoi Nikunj A.  Students, Electronics and communication, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Patel Shreya R.  Assistant professor, Electronics and communication, Sigma Institute of Engineering, Vadodara, Gujarat, India

Keywords:

Self balancing robot, Accelerometer, Gyroscope, Arduino Uno, Kalman filter, PID controller.

Abstract

In this paper we outline, development and control the two wheel self balancing robot. The adjust display as a two wheeled self-balancing robot that is fit for balancing itself concerning changes in weight and position. Two wheel self balancing robot work through an advanced cell utilizing a solitary versatile application and Bluetooth module. We built up the adjust framework from a solitary gyroscope and a solitary accelerometer. The dependability of the framework is to demonstrate the abilities of the ATmega328 in doing PID circles even with restricted exactness in position readings. PID control framework is intended to screen the engines to keep the framework in balance.

References

  1. "Real-Time Control of Two-Wheeled Inverted Pendulum Mobile Robot" Nawawi, S. W., Ahmad, M. N. and Osman, J. H. S (2014).World Academy of Science, Engineering and Technology 29, 214 – 220 (2015).
  2. “Sensors and control concept of a biped robot,” K. Loffler, M. Gienger, F. Pfeiffer, and H.  Ulbrich, IEEE Trans. Ind. Electron (2014).
  3. “A mobile, inverted pendulum,”  F. Grasser, A. D’Arrrigo, S. Colombi, and A. C. Rufer, IEEE Transactions on Industrial Electronics,vol. 49, no. 1, pp. 107–14, (2014).
  4. Self balancing mobile robot, Andrea Demetlika, Tomislav Tomaši?, Mladen Crnekovi?, FAMENA issue 3, volume 36 (2013).
  5. Attitude Estimation Using Low Cost Accelerometer And Gyroscope Proceedings KORUS 2003. The 7th Korea-Russia International Symposium on Volume: 2, Page(s): 423 - 427 (2003).
  6. Kalman Filtering With State Constraints D. Simon: A Survey Of Linear And Nonlinear Algorithms, IET Proceedings in Control Theory & Applications, Volume 4, no. 8, pp. 1303-1318 (2009).

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-04-10

Issue

Volume 4, Issue 5, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Patel Raj N., Rajput Akshay J., Upadhyaya Vraj A., Bhoi Nikunj A., Patel Shreya R. "Two Wheel Self Balancing Robot Using A Smart Phone" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 5, pp.458-461, March-April-2018.