Flying Drone Using KK Flight Controller

Year : 2025 | Volume : 03 | Issue : 02 | Page : 20 25
    By

    Shruti Bile,

  • Pragati Bhagat,

  • Sonali Gavali,

  • A.H. Shinde,

  1. Student, Electronics & Telecommunication, SKN Sinhgad College of Engineering,Pandharpur, Maharashtra, India
  2. Student, Electronics & Telecommunication, SKN Sinhgad College of Engineering,Pandharpur, Maharashtra, India
  3. Student, Electronics & Telecommunication, SKN Sinhgad College of Engineering,Pandharpur, Maharashtra, India
  4. Assistant Professor, Electronics & Telecommunication, SKN Sinhgad College of Engineering,Pandharpur, Maharashtra, India

Abstract

This paper presents the design, development, and testing of a quadcopter drone using the KK2.1.5 flight controller, with an emphasis on stability and educational value. The KK2.1.5 controller features are inbuilt LCD screen, inbuilt programming, enabling direct configuration and tuning without the need for a computer interface, which makes it highly suitable for beginners and students. The drone is built using a modular frame architecture, which allows for easy replacement and customization of components like motors, propellers, and arms. The drone’s orientation, acceleration, and angular velocity are continuously monitored by the flight controller, which combines a three-axis gyroscope and accelerometer. In order to ensure steady flying and fluid reactions to pilot inputs, it employs Proportional-Integral-Derivative (PID) control algorithms to dynamically modify individual motor outputs. Under a variety of environmental circumstances, such as wind gusts or abrupt shocks, these control techniques aid in maintaining altitude, orientation, and trajectory. To reduce the possibility of mishaps or hardware damage while in use, safety features including battery voltage monitoring, failsafe landing procedures, and throttle cut-off in the event of signal loss are included. Brushless DC motors are powered by a high-capacity Li-Po battery system that uses ESCs to provide fine speed control, quick reaction, and effective thrust for dependable flight performance. The flight controller utilizes integrated gyroscope and accelerometer sensors to maintain stable flight by continuously adjusting motor outputs via PID (Proportional-Integral-Derivative) tuning, ensuring smooth response to user inputs. Safety features such as throttle cut-off during signal loss and failsafe landing protocols are implemented to prevent damage or injury during operation. Power is delivered through a Li-Po battery system driving brushless DC motors through ESCs. Manual control is achieved via a transmitter receiver, gives the real time out-put. In future this project also explores the possibility of upgrades, including GPS-based autonomous navigation, telemetry integration, and obstacle detection for semi-autonomous missions, camera implementation. The drone serves not only as a functional aerial platform for tasks such as surveillance, aerial mapping, and environmental data collection, but also as an educational tool to introduce students and enthusiasts to core principles of flight dynamics, embedded systems, and wireless communication.

Keywords: KK flight controller, Remote Controlled Device, PIR Sensor, ESC, Quadcopter frame

[This article belongs to International Journal of Advanced Control and System Engineering ]

How to cite this article:
Shruti Bile, Pragati Bhagat, Sonali Gavali, A.H. Shinde. Flying Drone Using KK Flight Controller. International Journal of Advanced Control and System Engineering. 2025; 03(02):20-25.
How to cite this URL:
Shruti Bile, Pragati Bhagat, Sonali Gavali, A.H. Shinde. Flying Drone Using KK Flight Controller. International Journal of Advanced Control and System Engineering. 2025; 03(02):20-25. Available from: https://journals.stmjournals.com/ijacse/article=2025/view=230664


References

  1. Chakraborty R, Ghosh A, Das T. Development of a low-cost quadcopter using KK2.1.5 flight controller. Int J Eng Res Appl. 2017;7(5):12–16.
  2. Kumar S, Mishra R. Design and analysis of a low-cost UAV using open-source flight controller. J Robot Control Syst. 2018;5(3):88–93.
  3.  Patel V, Shah M. Comparative study of UAV flight controllers for research and academic use. Int J Eng Adv Technol. 2020;9(4):45–50.
  4. Bakke RR. KK 2.1.5 Flight Controller User Manual. HobbyKing. Available from: https://hobbyking.com/
  5.  UAV Coach. What is a Drone? 2021. Available from: https://uavcoach.com/what-is-a-drone/
  6.  KKMulticopterFlashTool. Steveis Firmware for KK2.1.5. Available from: https://lazyzero.de/en/modellbau/kkmulticopterflashtool
  7.  Godase MV, Mulani A, Ghodak MR, Birajadar MG, Takale MS, Kolte MA. MapReduce and Kalman Filter based Secure IIoT Environment in Hadoop. Sanshodhak. 2024;19.
  8.  Gadade B, Mulani AO, Harale AD. IoT Based Smart School Bus and Student Tracking System. Sanshodhak. 2024;19.
  9. Dhanawadel A, Mulani AO, Pise AC. IoT based Smart farming using Agri BOT. Sanshodhak. 2024;20.
  10.  Mulani A, Mane PB. DWT based robust invisible watermarking. Scholars’ Press; 2016.
  11.  Ghodke RG, Birajdar GB, Mulani AO, Shinde GN, Pawar RB. Design and Development of an Efficient and Cost-Effective surveillance Quadcopter using Arduino. Sanshodhak. 2024;20.
  12.  Ghodke RG, Birajdar GB, Mulani AO, Shinde GN, Pawar RB. Design and Development of Wireless Controlled ROBOT using Bluetooth Technology. Sanshodhak. 2024;20.
  13.  Swami SS, Mulani AO. An efficient FPGA implementation of discrete wavelet transform for image compression. In: 2017 Int Conf Energy, Commun, Data Anal Soft Comput (ICECDS); 2017 Aug. p. 3385–3389.
  14. Mane PB, Mulani AO. High speed area efficient FPGA implementation of AES algorithm. Int J Reconfigurable Embedded Syst. 2018;7(3):157–65.
  15.  Mulani AO, Mane PB. Area efficient high speed FPGA based invisible watermarking for image authentication. Indian J Sci Technol. 2016;9(39):1–6.
  16.  Kashid MM, Karande KJ, Mulani AO. IoT-based environmental parameter monitoring using machine learning approach. In: ICCIC 2021, Singapore: Springer; 2022 Nov. p. 43–51.
  17.  Nagane UP, Mulani AO. Moving object detection and tracking using Matlab. J Sci Technol. 2021;6(1):2456–60.
  18. Kulkarni PR, Mulani AO, Mane PB. Robust invisible watermarking for image authentication. In: Emerging Trends in Electr, Commun, Inf Technol: Proc ICECIT-2015, Singapore: Springer; 2016. p. 193–200.
  19.  Ghodake MRG, Mulani MA. Sensor based automatic drip irrigation system. J Res. 2016;2(02).
  20.  Mandwale AJ, Mulani AO. Different Approaches For Implementation of Viterbi decoder on reconfigurable platform. In: 2015 Int Conf Pervasive Comput (ICPC); 2015 Jan. p. 1–4.
Regular Issue Subscription Original Research
Volume 03
Issue 02
Received 17/05/2025
Accepted 21/08/2025
Published 07/11/2025
Publication Time 174 Days
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