Development of Dynamic Modeling and Fuzzy Logic System by Classical and Modern Strategies for the Control of Quadcopter

Authors

  • Muhammad Rashid Department of Mathematics, University of Balochistan, Quetta, 87300, Pakistan
  • Naveed Sheikh Department of Mathematics, University of Balochistan, Quetta, 87300, Pakistan
  • Arbab Raza Department of Mathematics, University of Balochistan, Quetta, 87300, Pakistan
  • Abdul Raziq Department of Mathematics, University of Balochistan, Quetta, 87300, Pakistan
  • Abdul Rehman Abdul Rehman Department of Mathematics, University of Balochistan, Quetta, 87300, Pakistan
  • Junaid Baber Department of Mathematics, University of Balochistan, Quetta, 87300, Pakistan
  • Abdul Basit Department of Mathematics, University of Balochistan, Quetta, 87300, Pakistan

Keywords:

Quadrotor, Earth-quake, Dynamic Modeling, Fuzzy Logic Control

Abstract

Quadcopters or Drones have multiple applications for different purpose such as investigation, assessment, exploration, rescue and decreasing the human strength in an adverse situation. Unmanned air vehicles (UAV) is designed with four propellers to resolve the issue of constancy however it will make the drone further more complex for the dynamic modelling and for the control system. In this research, smart controller is intended to regulate the attitude of drone. Simulation ideal model and fuzzy logic control approach is formulated to implement for four elementary motions i.e. roll, pitch, yaw, and height of our drone for the application of earth-quake. The key objective of this research paper is to develop the anticipated output as compare to the desired input.

References

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Published

2019-12-22

How to Cite

Rashid, M. ., Sheikh, N. ., Raza, A. ., Raziq, A. ., Abdul Rehman, A. R., Baber, J. ., & Basit, A. . (2019). Development of Dynamic Modeling and Fuzzy Logic System by Classical and Modern Strategies for the Control of Quadcopter. American Scientific Research Journal for Engineering, Technology, and Sciences, 62(1), 108–114. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/5413

Issue

Vol. 62 No. 1 (2019)

Section

Articles

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