PID experimentation model

December  2018 -April 2019

A PID controller is an instrument used in industrial control applications to regulate temperature, flow, pressure, speed and other process variables. PID (proportional integral derivative) controllers use a control loop feedback mechanism to control process variables and are the most accurate and stable controller.

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We developed our own PID experimentation model in order to regulate the process variables involved to stabilize the Drone flight. The working principle behind a PID controller is that the proportional, integral, and derivative terms must be individually adjusted or "tuned." Based on the difference between these values a correction factor is calculated and applied to the input. The structural model primarily consists of the frame, axle, arm and the guideways. 

 GOALS

This project was aimed to be an experimentation model where we apply the stabilization algorithms and apply multiple test conditions to check the stability of the arm that consists of motors and propellers.  

BENEFITS

Unlike the present PID experiment models, our model has an arm that is free to obtain a certain amount of lift upwards through the guideways that are attached to the frame. This model is very beneficial to test and apply the stabilization algorithms before it is applied to an actual drone.  

Meet The Team

Project Members

Deepika Varshini R

Aerospace Engineer

Sachin S

Electronics and Communications Engineer 

Project Ideator 

Kushal S L

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