Design and Implementation of Fuzzy Logic Flight Controller for a Quad Copter using Image-based Feedback

Over the past few years, Unmanned Aerial Vehicles (UAVs) have become the main element in Aviation Eco System. Drones find applications in agricultural monitoring, disaster management, surveillance, remote sensing, target acquisition, border patrol, infrastructure monitoring, photography and videogra

2025-06-28 16:31:43 - Adil Khan

Project Title

Design and Implementation of Fuzzy Logic Flight Controller for a Quad Copter using Image-based Feedback

Project Area of Specialization RoboticsProject Summary

Over the past few years, Unmanned Aerial Vehicles (UAVs) have become the main element in Aviation Eco System. Drones find applications in agricultural monitoring, disaster management, surveillance, remote sensing, target acquisition, border patrol, infrastructure monitoring, photography and videography. UAV’s are also being used to test Air Traffic Management algorithms. Moreover, UAVs are a useful tool for researchers to test and evaluate new ideas in a number of different fields, including flight controls theory, navigation, real-time systems and robotics. In the past decade, comprehensive efforts were made to make the UAVs fully autonomous; however, flying a UAV is still a quite challenging task.

The idea of this project is to develop a flight controller for a quadcopter in line with Avionics System Design methodology. The key feature of the project will be to control the quadcopter by replacing the function of manual levers, in standard remote control, with voltages induced via a microcontroller manual switches will be removed, and desired voltages will be directly fed to the circuitry. Controller response will be empirically developed. The controller shall be able to make the quadcopter fly in a horizontal displacement, vertical displacement and a box.

As other Machine learning and Artificial intelligence can have undetermined states so they are not certifiable for Avionics purposes, that is why we will develop a Fuzzy Logic Controller for position determination. The quadcopter will start from a random position and its fuzzy logic controller will make it fly to the final position. The fuzzy feedback will be provided by a low-cost camera to determine the offset from the desired target. The flight controller will be implemented through PC and Arduino.

[1] S.A.A. Shakoor S.R. Munasinghe D.M.W . Abeywardena, L.A.K. Amaratunga. A velocity feedback fuzzy logic controller for stable hovering of a quadrotor UAV. Fourth Intemational Conference on Industrial and Information Systems, IClIS, 2009. (Cited on pages 27 and 28.)

[2] M. Santos, V. Lopez, F. Morata (2010) Intelligent fuzzy controller of a quadrotor. International Conference on Intelligent Systems and Knowledge Engineering (ISKE). pp.141-146.

Project Objectives Project Implementation Method Benefits of the Project Technical Details of Final Deliverable Final Deliverable of the Project HW/SW integrated systemCore Industry EducationOther IndustriesCore Technology RoboticsOther TechnologiesSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 72000
Remote control car for modification and trials Equipment120002000
Quadcopter for modification and trials Equipment11000010000
Arduino Mega board Equipment2500010000
Webcam Camera Equipment150005000
FPGA Board Equipment13000030000
Miscellaneous Electronic Components Miscellaneous 11000010000
Mechanical Fixtures Equipment150005000

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