Design and Evaluation of a Low-Cost Quadcopter Drone ControlSystem with Real-Time IMU-Based Stabilization

Authors

  • Dr.R.Manikandan Associate Professor Department of ECE Annai Vailankanni College of Engineering Author
  • L.Muthu kumar Assistant Professor Department of CSE Annai Vailankanni College of Engineering Author
  • S.Sivachandran Department of CSE Annai Vailankanni College of Engineering Author
  • V.Jeyaram Department of CSE Annai Vailankanni College of Engineering Author
  • V.Adlin Preethi Department of CSE Annai Vailankanni College of Engineering Author
  • V.Jebitha Department of CSE Annai Vailankanni College of Engineering Author
  • A.Monisha Department of CSE Annai Vailankanni College of Engineering Author
  • V.Preethi Department of CSE Annai Vailankanni College of Engineering Author
  • K.Stefy seles Department of CSE Annai Vailankanni College of Engineering Author

DOI:

https://doi.org/10.62647/IJITCE2025V13I4PP335-341

Keywords:

Battery management, Flight controller, Quadcopter control, Sensor feedback, Unmanned aerial vehicle stability

Abstract

Quadcopter technology has gained
attention due to applications in aerial surveillance,
delivery, and research, yet many existing studies focus on
either complex autonomous control algorithms or highcost
hardware, limiting accessibility for educational and
experimental purposes. A basic quadcopter control
system integrating a LiPo battery, flight controller,
BLDC motors, ESC units, and a wireless transmitter was
implemented to demonstrate stable flight using real-time
command processing and sensor feedback. The
transmitter commands were decoded and processed by
the flight controller, which generated PWM signals to
control motor speed, producing thrust for maneuvering.
IMU sensors provided continuous orientation feedback,
maintaining stability under disturbances. Experimental
results indicated stable hover with ±2° orientation
deviation, maximum motor RPM of 8500, average PWM
duty cycle of 60%, hover current draw of 4.5 A, and a
flight time of approximately 12 minutes, outperforming
typical small-scale educational drones in response time
and stability. The system validates efficient integration of
power, control, and feedback mechanisms for reliable
quadcopter operation.

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Published

26-12-2025

How to Cite

Design and Evaluation of a Low-Cost Quadcopter Drone ControlSystem with Real-Time IMU-Based Stabilization. (2025). International Journal of Information Technology and Computer Engineering, 13(4), 335-341. https://doi.org/10.62647/IJITCE2025V13I4PP335-341

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