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Proceedings ArticleDOI

Experimental Analysis and Affirmation of Vital Parameters of Multi-Rotors Drones

TLDR
In this article, the authors presented a less complex and simplistic way to do all the calculations of all vital parameters needed for building any drone, and the theoretical validation of the equations which are derived and mentioned in the paper with the practical data obtained from the prototype built.
Abstract
Drone are now commercially used in almost every industry from delivery to defense, general people also make them for hobbies, but due to lack of clear open source information, new enthusiast and even the existing one find it very difficult to build it on their own without any professional help. This paper presents a less complex and simplistic way to do all the calculations of all vital parameters needed for building any drone. This paper presents the theoretical validation of the equations which are derived and mentioned in the paper with the practical data obtained from the prototype built. The analysis of each parameter is done very precisely to make the mistakes as low as possible. All the equations which are mentioned have some assumptions and use of standard values, which is clearly mentioned with the work. The prototype built is an autonomous system containing six rotors and communication modules for sending data on the ground. The conclusion of the paper shows the difference in the accuracy between theoretical values calculated from the derived equations and what practical testing gives.

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References
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Proceedings ArticleDOI

Work-in-Progress: Routing of Delivery Drones with Load-Dependent Flight Speed

TL;DR: This paper formally defines Flight Speed-aware Vehicle Routing Problem (FSVRP) and proposes a dynamic programming algorithm to efficiently solve the problem and shows the effectiveness of the proposed algorithm in terms of quality of results and algorithm runtime.
Proceedings ArticleDOI

Research on UAV Flight Tracking Control Based on Genetic Algorithm optimization and Improved bp Neural Network pid Control

TL;DR: Simulation analysis shows that comparison between the traditional PID and BP neural network-PID control, the proposed method improves the robustness and dynamic performance of the system, improves the convergence accuracy and convergence rate, and thus the attitude of the drone.
Proceedings ArticleDOI

Drone ground control station with enhanced safety features

TL;DR: A drone control station which incorporates a hardware system for establishing secured communication with drone and a software for presenting the telemetry data as well as the important weather parameters and no fly zones of a region in which the drone will fly is proposed.
Proceedings ArticleDOI

Fault tolerant incremental attitude control using online parameter estimation for a multicopter system

TL;DR: To achieve physically feasible trajectories, the gains of the nonlinear reference model are modified to account for the reduced achievable moment space and the control effectiveness matrix is estimated online using gradient descent method.
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Thrust estimation of quadrotor UAV using adaptive observer

TL;DR: In this article, an adaptive Luenberger observer is used to estimate the thrust generated by the individual rotors of a quadrotor UAV with uncertain actuator parameters, using a linear dynamic model of the system.