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ROBUST QUADCOPTER CONTROL

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Overview

  • This project aimed to model the control framework by integrating the control theory using a PID controller with the mathematical model of quadrotor dynamics.
  •  The quadrotor dynamics were studied using the Newton-Euler approach of classical mechanics.
  • The quadrotor was made to follow the following trajectories: line, sinusoidal, helical, and minimum snap trajectory.​
  • The control architecture was extended to the LQR controller on MATLAB-Simulink, and the performance was compared to that of the PID controller.

Implementations

  •  Altitude control of a 1D Quadcopter
  • 2D trajectory tracking using PID controller
  •  3D trajectory tracking using PID controller​

Altitude control of a 1D Quadcopter

Picture
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2D trajectory tracking using PID controller
Line Trajectory

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Picture
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Sine Trajectory
Picture

Diamond Trajectory
Picture

3D trajectory tracking using PID controller
Helix Trajectory​

Picture

Minimum Snap Trajectory

Picture
​​.

Graphs

GitHub

Team

  • Ayush Singh
  • Mokshada Barhate
  • Rajesh Nagula
  • Rishabh Verma
  • Ritesh Zoad
  • Rushika Joshi
  • Shruti Murarka
  • Varad Vaidya
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  • Our Lab
    • About
    • Research Themes
    • Gallery
    • Exhibitions
    • Workshops >
      • Workshop Info
      • FAQ
    • Intern Diaries
  • Projects
    • Flagship Projects
    • Summer Projects
  • Publications
  • Our Team
    • Professor Incharge
    • Alumni >
      • Batch 2014
      • Batch 2016
      • Batch 2017
      • Batch 2018
      • Batch 2019
      • Batch 2020
      • Batch 2021
      • Batch 2022
    • Core Coordinators
    • Junior Year Coordinators
  • Contact
  • Spin-offs
    • Makxenia
    • AidBots
  • Intranet