ScholarLens Back to search
2022•2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)Requires access

Quadcopter Control using Different Controllers

Rohit Khandait, Vasant Kumar, Vivek Bhurse, Vivek Tiwari, Swapnil W. Khubalkar

Open publisher page 24 citations

Abstract

This paper discusses implementation of the PD, PID, Fuzzy-PID controllers on quadcopter. Quadcopter have variety of applications in real. Generally, quadcopter are unstable system. To avoid any form of damage to the quadcopter, a quadcopter mathematical model should be built first, and then various control strategies can be employed. MATLAB/Simulink is used for modelling and control of the quadcopter. The primary goal of the study is to obtain intended result from that of intended input. Finally, simulation outcomes were compared on the basis of settling time, overshoots and undershoots to see which controller is the most effective for the quadcopter. The effectiveness of the best controller is verified through MATLAB/Simulink.

About this research paper

What this paper is about

This paper discusses implementation of the PD, PID, Fuzzy-PID controllers on quadcopter. Quadcopter have variety of applications in real. Generally, quadcopter are unstable system. To avoid any form of damage to the quadcopter, a quadcopter mathematical model should be built first, and then various control strategies can be employed. MATLAB/Simulink is used for modelling and control of the quadcopter. The primary goal of the study is to obtain intended result from that of intended input. Finally, simulation outcomes were compared on the basis of settling time, overshoots and undershoots to see which controller is the most effective for the quadcopter. The effectiveness of the best controller is verified through MATLAB/Simulink.

Why it matters

OpenAlex reports 24 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This paper discusses implementation of the PD, PID, Fuzzy-PID controllers on quadcopter. Quadcopter have variety of applications in real. Generally, quadcopter are unstable system. To avoid any form of damage to the quadcopter, a quadcopter mathematical model should be built first, and then various control strategies can be employed. MATLAB/Simulink is used for modelling and control of the quadcopter. The primary goal of the study is to obtain intended result from that of intended input. Finally, simulation outcomes were compared on the basis of settling time, overshoots and undershoots to see which controller is the most effective for the quadcopter. The effectiveness of the best controller is verified through MATLAB/Simulink.

Key concepts: Quadcopter, PID controller, MATLAB, Computer science, Control theory (sociology), Control engineering, Controller (irrigation), Settling time

Related papers

Related paper 1Related paper 2
Back to paper searchBrowse research topicsOriginal source
Quadcopter Control using Different Controllers — Research Paper | ScholarLens