Flight Control System in MATLAB Minidrone Using the Parrot Support Pacakage

This work focuses on the design and implementation of an autonomous flight control system for a MATLAB-based Minidrone using the Parrot Support Package. The primary objective is to develop a reliable and adaptable control archi-tecture that enables the drone to perform stable, autonomous flight using onboard sensor data and embedded control logic. This paper explores the development and implementation of a flight control system (FCS) for a Parrot minidrone using MAT-LAB and Simulink, leveraging the Simulink Support Package for Parrot Minidrones. The primary focus is on designing a robust and adaptable FCS that enables stable and accurate flight, even under adverse conditions. The Model-Based Design paradigm is utilized, allowing for simulation, rapid prototyping, and deployment of control algorithms. This approach facilitates the continuous refinement of the system, making it suitable for various applications, including spraying fertilizers in farming and space utilization in large godowns.

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Publication Details

Published
2025-04-23
DOI
https://doi.org/10.1109/icict64420.2025.11005298
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.28
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Flight Control System in MATLAB Minidrone Using the Parrot Support Pacakage

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Robotic Path Planning Algorithms
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article

Flight Control System in MATLAB Minidrone Using the Parrot Support Pacakage

K Wani, Kunal Patil, Tejeswini Deshmukh ., Ishan Thakur, Swarada Narote, Prashant Bangar
article en
1 citations

Abstract

This work focuses on the design and implementation of an autonomous flight control system for a MATLAB-based Minidrone using the Parrot Support Package. The primary objective is to develop a reliable and adaptable control archi-tecture that enables the drone to perform stable, autonomous flight using onboard sensor data and embedded control logic. This paper explores the development and implementation of a flight control system (FCS) for a Parrot minidrone using MAT-LAB and Simulink, leveraging the Simulink Support Package for Parrot Minidrones. The primary focus is on designing a robust and adaptable FCS that enables stable and accurate flight, even under adverse conditions. The Model-Based Design paradigm is utilized, allowing for simulation, rapid prototyping, and deployment of control algorithms. This approach facilitates the continuous refinement of the system, making it suitable for various applications, including spraying fertilizers in farming and space utilization in large godowns.

International Institute of Information Technology (IN), AISSMS Institute of Information Technology
Affordable and clean energy
Openalex Percentile: Top 20%
Robotic Path Planning Algorithms
1.28
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