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Year 2018, Volume: 1 Issue: 1, 17 - 21, 30.09.2018

Abstract

References

  • [1] Thu, K. M., & Gavrilov, A. I. (2017). Designing and Modeling of Quadcopter Control System Using L1 Adaptive Control. Procedia Computer Science, vol. 103 , p. 528-535.
  • [2] Rajpoot, A. S., Gadani, N., &Kalathia, S. (2016). Development of Arduino Based Quadcopter. International Advanced Research Journal in Science, Engineering and Technology, vol. 3 no. 6.
  • [3] Ononiwu, G., Onojo, O., Ozioko, O., &Nosiri, O. (2016). Quadcopter Design for Payload Delivery. Journal of Computer and Communications, vol. 4, no. 10.
  • [4] Khan, M. (2014). Quadcopter Flight Dynamics. International Journal of Science and Technology Research, vol. 3, no. 8 p .130-135.
  • [5] Pottams, A. J., Harikrishnan, V., Sankar, R., Raveendran, B., & Warier, S. R. Student, Department of Applied Electronics & Instrumentation, Rajagiri School of Engineering & Technology, kakkanad1 Faculty, Department of Applied Electronics & Instrumentation, Rajagiri School of Engineering & Technology, kakkanad2 (2016), QUADCOPTER, vol.7, no 11.
  • [6] Wang, P., Man, Z., Cao, Z., Zheng, J., & Zhao, Y. (2016, November). Dynamics modelling and linear control of quadcopter. In Advanced Mechatronic Systems (ICAMechS), 2016 International Conference IEEE, p. 498-503.
  • [7] Huynh, M. Q., Zhao, W., &Xie, L. (2014, December). L 1 adaptive control for quadcopter: Design and implementation. In Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference IEEE p. 1496-1501..
  • [8] Almurib, H. A., Nathan, P. T., & Kumar, T. N. (2011, September). Control and path planning of quadrotor aerial vehicles for search and rescue. In SICE Annual Conference (SICE), 2011 Proceedings IEEE p. 700-705.
  • [9] Mahen, M. A., Anirudh, S., Naik, A., Chethana, H. D., & Shashank, A. C. (2014). Design and development of amphibious quadcopter. International Journal of Mechanical and Production Engineering, 2(7), vol. 2, no. 7, p. 30-34.
  • [10] Junior, J. C. V., De Paula, J. C., Leandro, G. V., &Bonfim, M. C. (2013). Stability control of a quad-rotor using a PID controller. Brazilian Journal of Instrumentation and Control, vol.1, no.1, p. 15-20.
  • [11] Narkar, S., Kore, S., Jamgekar, R., & Doiphode, S. DTMF based Hybrid Robot for Air and Land.
  • [12] Anand, S. S., & Mathiyazaghan, R. (2016). Design and Fabrication of Voice Controlled Unmanned Aerial Vehicle. IAES International Journal of Robotics and Automation (IJRA), vol.5, no.3, p. 205-212.
  • [13] Achtelik, M., Zhang, T., Kuhnlenz, K., & Buss, M. (2009, August). Visual tracking and control of a quadcopter using a stereo camera system and inertial sensors. In Mechatronics and automation, 2009. icma 2009. international conference IEEE, p. 2863-2869.
  • [14] Argentim, L. M., Rezende, W. C., Santos, P. E., & Aguiar, R. A. (2013, May). PID, LQR and LQR-PID on a quadcopter platform. In Informatics, Electronics & Vision (ICIEV), 2013 International Conference IEEE, p. 2863-2869.

Design, development and control of long range quadcopter

Year 2018, Volume: 1 Issue: 1, 17 - 21, 30.09.2018

Abstract

This research is based on the design, development and
control of long range quadcopter using 4G network. The developed Quadcopter has
capability to be controlled from any location where 4G network is available.
The Quadcopter consist of mainly 4 components including: flight controller,
motors and propellers, electronic speed controller and communication module.
The first three components are same as used in conventional Quadcopter where as
the long range is achieved with the help of unique communication system. The
communication module of this Quadcopter consists of Nodemcu with 4G wifi module
and android based mobile phone. A graphical user interface is developed in
blynk software through which Nodemcu is control which results to control
Quadcopter from distant place. 4G based quadcopter has an advantage over
conventional RF module based quadcopter which has limited coverage area.
Automatic mission is accomplished with Quadcopter using GPS based navigation
system.

References

  • [1] Thu, K. M., & Gavrilov, A. I. (2017). Designing and Modeling of Quadcopter Control System Using L1 Adaptive Control. Procedia Computer Science, vol. 103 , p. 528-535.
  • [2] Rajpoot, A. S., Gadani, N., &Kalathia, S. (2016). Development of Arduino Based Quadcopter. International Advanced Research Journal in Science, Engineering and Technology, vol. 3 no. 6.
  • [3] Ononiwu, G., Onojo, O., Ozioko, O., &Nosiri, O. (2016). Quadcopter Design for Payload Delivery. Journal of Computer and Communications, vol. 4, no. 10.
  • [4] Khan, M. (2014). Quadcopter Flight Dynamics. International Journal of Science and Technology Research, vol. 3, no. 8 p .130-135.
  • [5] Pottams, A. J., Harikrishnan, V., Sankar, R., Raveendran, B., & Warier, S. R. Student, Department of Applied Electronics & Instrumentation, Rajagiri School of Engineering & Technology, kakkanad1 Faculty, Department of Applied Electronics & Instrumentation, Rajagiri School of Engineering & Technology, kakkanad2 (2016), QUADCOPTER, vol.7, no 11.
  • [6] Wang, P., Man, Z., Cao, Z., Zheng, J., & Zhao, Y. (2016, November). Dynamics modelling and linear control of quadcopter. In Advanced Mechatronic Systems (ICAMechS), 2016 International Conference IEEE, p. 498-503.
  • [7] Huynh, M. Q., Zhao, W., &Xie, L. (2014, December). L 1 adaptive control for quadcopter: Design and implementation. In Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference IEEE p. 1496-1501..
  • [8] Almurib, H. A., Nathan, P. T., & Kumar, T. N. (2011, September). Control and path planning of quadrotor aerial vehicles for search and rescue. In SICE Annual Conference (SICE), 2011 Proceedings IEEE p. 700-705.
  • [9] Mahen, M. A., Anirudh, S., Naik, A., Chethana, H. D., & Shashank, A. C. (2014). Design and development of amphibious quadcopter. International Journal of Mechanical and Production Engineering, 2(7), vol. 2, no. 7, p. 30-34.
  • [10] Junior, J. C. V., De Paula, J. C., Leandro, G. V., &Bonfim, M. C. (2013). Stability control of a quad-rotor using a PID controller. Brazilian Journal of Instrumentation and Control, vol.1, no.1, p. 15-20.
  • [11] Narkar, S., Kore, S., Jamgekar, R., & Doiphode, S. DTMF based Hybrid Robot for Air and Land.
  • [12] Anand, S. S., & Mathiyazaghan, R. (2016). Design and Fabrication of Voice Controlled Unmanned Aerial Vehicle. IAES International Journal of Robotics and Automation (IJRA), vol.5, no.3, p. 205-212.
  • [13] Achtelik, M., Zhang, T., Kuhnlenz, K., & Buss, M. (2009, August). Visual tracking and control of a quadcopter using a stereo camera system and inertial sensors. In Mechatronics and automation, 2009. icma 2009. international conference IEEE, p. 2863-2869.
  • [14] Argentim, L. M., Rezende, W. C., Santos, P. E., & Aguiar, R. A. (2013, May). PID, LQR and LQR-PID on a quadcopter platform. In Informatics, Electronics & Vision (ICIEV), 2013 International Conference IEEE, p. 2863-2869.
There are 14 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Original Research Articles
Authors

Syed Najeebullah This is me 0000-0002-2518-8113

Ajab Khan Kasi 0000-0002-9974-2287

Jafar Khan Kasi 0000-0003-3926-0806

Publication Date September 30, 2018
Acceptance Date September 26, 2018
Published in Issue Year 2018 Volume: 1 Issue: 1

Cite

APA Najeebullah, S., Kasi, A. K., & Kasi, J. K. (2018). Design, development and control of long range quadcopter. Scientific Journal of Mehmet Akif Ersoy University, 1(1), 17-21.