Advanced PID attitude control of a quadcopter using asynchronous android flight data

Alsharif, Mohammad A.; Arslantas, Yunus Emre; Holzel, Matthew S.

doi:10.1109/icuas.2017.7991325

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…The fundamental mathematical model of a quadcopter was used in this study together with the TOROT 650 frame specifications, and it is shown in Figure 1. Studies by Alsharif et al (2017a, 2017b) were widely cited in the development of this paper’s quadcopter UAV model. The quadcopter model itself is a typical four-arm, symmetrical frame.…”

Section: Mathematical Modellingmentioning

confidence: 99%

“…The goal of this study is to make it easier for Tarot FY650 users to include the control system they need for quicker quadrotor application development. Alsharif et al (2017) implemented a linear and nonlinear controller for attitude control of a quadcopter and performed a comparative study for the same. In the simulation, Mung and Hong (2019) integrated a trajectory controller into the attitude controller, to follow the path commands given by the trajectory planner to the nearest landing point and also developed a trajectory planning algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Mathematical modelling and PID control system implementation for quadcopter frame Tarot FY650

G.,

2024

AEAT

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Purpose The purpose of this study is to find the suitable trajectory path of the Numerical model of the Quadcopter. Quadcopters are widely used in various applications due to their compact size and ease of assembly. Because they are quite unstable, autonomous control systems would be used to overcome this problem. Modelling autonomous control is predominant as the research scope faces challenges because of its highly non-linear, multivariable system with 6 degree of freedom. Design/methodology/approach Quadcopters with antonym systems can operate in an unknown environment by overcoming unexpected disturbances. The first objective when designing such a system is to design an accurate mathematical model to describe the dynamics of the system. Newton’s law of motion was used to build the mathematical model of the system. Findings Establishment of the mathematical model and the physics behind a four propeller drone for the frame TAROT 650 carbon was done. Simulink model was developed based on the mathematical model for simulating the complete dynamics of the drone as well as location and gusts were included to check the stability. Originality/value The control response of the system was simulated numerically results are discussed. The trajectory path was found. The phases with their own parameters can be used to implement the mathematical model for another type of quadcopter model and achieve quick development.

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Section: Mathematical Modellingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mathematical modelling and PID control system implementation for quadcopter frame Tarot FY650

G.,

2024

AEAT

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“…The project focuses on modelling the DJI F450 quadcopter, and design the specific controller using PID. There are many types of control system method in controlling the altitude of the quadcopter based on these research [6][7][8][9][10][11][12]. The mathematical model of the quadcopter is derived from previous research and the DJI F450 frame parameter was embed into the model.…”

Section: Introductionmentioning

confidence: 99%

Modelling and PID control system integration for quadcopter DJI F450 attitude stabilization

Salma

Osman

2020

IJEECS

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<p><span style="font-family: Times New Roman;">In this paper we focus on the overall overview of the mathematical modelling of the DJI F450 UAV quadcopter, the hardware and software system integration based on PID control system for the attitude feedback. The parameter specification of the DJI F450 is fed into the mathematical model and implement a basic PID for the system. Future research using the DJI F450 model can benefit from this observation by implementing the modelling and tune in their own variable that varies, such as the overall of their weight. The data of PID control system simulation using the quadcopter frame model type DJI F450 parameter. The mathematical model for the quadcopter modelled DJI F450 is developed using Newton-Euler method. Altitude data for the control system is obtain from the analysis data of the Simulink simulation. The simulation is done using the Simulink toolbox inside the MATLAB software. From this paper, we can more understand the step involves in making a full control system of a quadcopter. The mathematical model for other type of quadcopter model can be implemented using the steps with their own parameter and achieve fast development.</span></p>

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Design of Motorcycle Speed Limiter through Global Positioning System

Bajenting

Ompoc

Palmero

et al. 2021

2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environ

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Advanced PID attitude control of a quadcopter using asynchronous android flight data

Cited by 5 publications

References 7 publications

Mathematical modelling and PID control system implementation for quadcopter frame Tarot FY650

Mathematical modelling and PID control system implementation for quadcopter frame Tarot FY650

Modelling and PID control system integration for quadcopter DJI F450 attitude stabilization

Design of Motorcycle Speed Limiter through Global Positioning System

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