Modeling, simulation and control study for the quad-copter UAV

Patel, Keyur; Barve, Jayesh

doi:10.1109/iciinfs.2014.7036590

Cited by 25 publications

(10 citation statements)

References 4 publications

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“…Based on the literature study, an amphibious drone has to consider both air and water medium. In order to perform under this medium, the electrical components need to properly scaled and work under this medium, by utilizing the thrusters the drone will able to ascent and descent, the level of ascending and descending is controlled by changing the rotation speed of the thruster [10][11][12][13][14] in this case motor paring aerial, the working concept of the motor is same as the normal quadcopter, but in aquatic the high density of the water need more thrust, so motor has to produce more thrush then the air, thus we proper manageability is possible [15]. By changing the motor speed, the drone can perform yaw, roll, and pitch operation, the lit and torque produced by this motor can be adjusted to get a better experience [16].…”

Section: Methodsmentioning

confidence: 99%

Design and Analysis of Remotely Amphibious Drone

Suresh*,

Jasim,

Nagdev

et al. 2020

IJITEE

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The amphibious drone is the drone that is capable to travel in both air and water. In order to move through water, buoyancy force needs to be balanced and it challenges the structural integrity, it must have a better communication system with more penetration and less attenuation of the signal. To overcome that challenge the radio signal and Acoustic communication are widely used in the amphibious drone. In underwater, we have difficulty to get a clear view of positioning, for that there will be a mini system installed on the drone that will automatically calculate and sets their tracks to find the position, depth and time of the system. To achieve better communication an extra ground station will be installed. For controlling the motions of the drone in an effective manner the microcontroller is used as a flight controller for transmitting and resaving the user data. the aluminum alloy is used in the amphibious drone to avoid structural damage. Based on the above consideration the amphibious drone has been developed and measuring their efficiency in both air and water, after experimentation this amphibious drone may be used for coastal rescue, surveillance, oceanographic research etc. The entire design and development of amphibious drone are in progress and testing to be done in the future

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Section: Methodsmentioning

confidence: 99%

Design and Analysis of Remotely Amphibious Drone

Suresh*,

Jasim,

Nagdev

et al. 2020

IJITEE

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“…Time domain flight data collection and analysis is also important as frequency domain system identification relies on the conversion of time domain fight data into the frequency domain [33]. Transfer function modeling in frequency domain has been applied for UAVs of different scales such as multi rotor UAV [34], fixed-wing UAV [33], helicopter [35,36,37,38]. Transfer function modeling was performed for frequency response identification of the unamnned aircraft system [33].…”

Section: Transfer Function Modelingmentioning

confidence: 99%

Evaluation of pilot and quadcopter performance from open-loop mission-oriented flight testing

Zahed

Fields

2021

Proceedings of the Institution of Mechanical Engineers, Part G:

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Unmanned aircraft systems (UAS) have experienced tremendous growth through both commercial (i.e., toys and videography) and defense avenues. The rapid expansion, particularly in the consumer market, has outpaced regulatory bodies. Certification to commercially operate such vehicles currently requires the successful completion of a knowledge examination, without the need to physically operate a vehicle. The focus of the work presented herein is on quantifying the pilot and multi-rotor performance in an attempt to provide quantitative metrics that can be used to establish training and certification for pilots and aircraft. Test pilots were categorized based on their experience level, and the quadrotor unmanned aircraft was categorized based on the flight control mode. Cross-track command (CTC) and path error (PE) were calculated as potential time-domain metrics to quantify pilot and quadcopter performance. Individual binary logistic regression models were developed to identify the pilot experience level (PEL) and UAV control level (UCL) from the decision tree outcomes. A verification test case was included to evaluate the established regression models. Results show that the models can evaluate pilot and quadcopter performance individually, which can be used to develop the pilot training curriculum and/or evaluate pilot effectiveness in specific flight scenarios.

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“…To find the thrust coefficient, the Thrust value vs graph was drawn and the best-fit gradient was then determined. Figure 7 shows the data captured on the graph of thrust vs (RPM) 2 . Then, a linear approximation was made and finally the thrust coefficient was found to be 2 -7 .…”

Section: The Thrust Coefficientmentioning

confidence: 99%

Modelling and Parameters Identification of a Quadrotor Using a Custom Test Rig

Ashraf

Abidin

Rahman

et al. 2018

IJPEDS

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<span>Quadrotor by nature is a very unstable system and flying it without any feedback control algorithm is deemed impossible. However, before designing the control system, system identification need to be conducted as the accuracy of the control system depends highly on the accuracy of the model. Therefore, this paper explained the design of the quadrotor model with an “X” configuration using the Euler-Newton model. Two types of test rig were designed to measure the thrust coefficient, torque coefficient and throttle command relation parameter needed in the model. Other parameter such as moment of inertia was also being measured by separating the quad rotor model into several sections: Motors, Electronics Speed Controllers (ESC) and Central Hub. All parameters needed in the designed quad rotor model has been successfully identified by measuring the parameters using the custom-built quad rotor and test rigs. The parameters found in this paper will be used in designing the control system for the quadrotor.</span>

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Modeling, simulation and control study for the quad-copter UAV

Cited by 25 publications

References 4 publications

Design and Analysis of Remotely Amphibious Drone

Design and Analysis of Remotely Amphibious Drone

Evaluation of pilot and quadcopter performance from open-loop mission-oriented flight testing

Modelling and Parameters Identification of a Quadrotor Using a Custom Test Rig

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