THE HYDRO PLANING SIMULATION OF FLYING BOAT REMOTE CONTROL MODEL

2016 ◽  
Vol 78 (6) ◽  
Author(s):  
S. Syamsuar ◽  
E. B. Djatmiko ◽  
Erwandi Erwandi ◽  
A. S. Mujahid ◽  
Subchan Subchan
Keyword(s):  
Remote Control ◽  
Unmanned Aerial Vehicle ◽  
Weight Ratio ◽  
Performance Testing ◽  
Control Model ◽  
Three Dimensions ◽  
Pressure Distributions ◽  
Angle Data ◽  
Testing Data ◽  
Aerial Vehicle

The measurement of unknown model to get the three dimensions of object configuration is by using the laser camera photo tracking. The three dimensions model became from solid drawing on the CATIA software. The CFX ANSYS computational fluid dynamics software is used on the 3D of Flying Boat remote control model full configuration. The rectangular and dihedral configurations of the model have Z forces value during acceleration on the water surface. The pressure distributions hydro planing have a good result also. The speeds on the simulation model are around (0 - 25) knots and Angle of Attack, α = 00.  The downwash effect and vortex could be shown in the CFD results. To verify the simulation data analysis is uses the takeoff flight performance testing data during takeoff of Unmanned Aerial Vehicle “Alap alap” with the same Thrust per Weight ratio around 0.4, such as altitude height, airspeed, Z acceleration and pitch angle data. The hump drag of Flying Boat remote control model and the friction during takeoff of Unmanned Aerial Vehicle have been ignored.

scholarly journals Drone in NBC disaster

2018 ◽  
Vol 5 (12) ◽  
pp. 5476
Author(s):  
Yong Han Kim
Keyword(s):  
Remote Control ◽  
Unmanned Aerial Vehicle ◽  
Human Exposure ◽  
Nerve Agent ◽  
Remote Laboratory ◽  
Disaster Area ◽  
Rescue Team ◽  
Aerial Vehicle ◽  
Rescue Personnel

Nuclear, Biological and chemical disasters are tragic and should never happen. Unavoidably occurred, access and reach are difficult because rescue personnel are exposed to hazards. Drone is an unmanned aerial vehicle that can be operated by remote control or autonomous aviation. It has some advantages in NBC disaster as followings:First, drone can take a picture and record the scene in contaminated zone. Communication with injured is also possible without exposure to rescue team. Triage can be performed by analysis of movement, breathing and responsiveness, etc.Second, atropine and oxime are essential to nerve agent poisoning. It can be delivered by drone only inside contaminated zone for survivors.Third, drone can collect specimen without human exposure. Investigator can analyze the extent of pollution in remote laboratory with this specimen.Fourth, survivor can be evacuated from disaster area by drone itself. This operation needs heavy capability that would lift patients.I hope that NBC disaster could be overcome with this useful modern convenience.

scholarly journals Synergy Effects in Electric and Hybrid Electric Aircraft

Aerospace ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. 32 ◽  
Author(s):  
Teresa Donateo ◽  
Claudia Lucia De Pascalis ◽  
Antonio Ficarella
Keyword(s):  
Power System ◽  
Unmanned Aerial Vehicle ◽  
Weight Ratio ◽  
Electric Power System ◽  
Pollutant Emissions ◽  
Synergic Effect ◽  
Vtol Uav ◽  
Aerial Vehicle ◽  
Hybrid Electric ◽  
Different Levels

The interest in electric and hybrid electric power system has been increasing, in recent times, due to the benefits of this technology, such as high power-to-weight ratio, reliability, compactness, quietness, and, above all, elimination of local pollutant emissions. One of the key factors of these technologies is the possibility to exploit the synergy between powertrain, structure, and mission. This investigation addresses this topic by applying multi-objective optimization to two test cases — a fixed-wing, tail-sitter, Vertical Take-off and Landing Unmanned Aerial Vehicle (VTOL-UAV), and a Medium-Altitude Long-Endurance Unmanned Aerial Vehicle (MALE-UAV). Cruise time and payload weight were selected as goals for the first optimization problem, while fuel consumption and electric endurance were selected for the second one. The optimizations were performed with Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and S-Metric Selection Evolutionary Multiobjective Algorithm (SMS-EMOA), by taking several constraints into account. The VTOL-UAV optimization was performed, at different levels (structure only, power system only, structure and power system together). To better underline the synergic effect of electrification, the potential benefit of structural integration and multi-functionalization was also addressed. The optimization of the MALE-UAV was performed at two different levels (power system only, power system, and mission profile together), to explore the synergic effect of hybridization. Results showed that large improvements could be obtained, either in the first test case when, both, the powertrain design and the aircraft structure were considered, and in the optimization of the hybrid electric UAV, where the optimization of the aircraft flight path gave a strong contribution to the overall performances.

Development of a Low-Cost Unmanned Aerial Vehicle Using Mini-Airship Structure for Acquiring Digital Image Platform

2012 ◽  
Vol 271-272 ◽  
pp. 427-431 ◽  
Author(s):  
Han Wei Hsiao ◽  
Sheng Heng Tung ◽  
Ming Hsiang Shih ◽  
Wen Pei Sung
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Low Cost ◽  
Control Model ◽  
Video Monitoring ◽  
Proportional Integral Derivative ◽  
Proportional Integral Derivative Controller ◽  
Gravity Sensor ◽  
Aerial Vehicle ◽  
Long Endurance ◽  
Design Cost

In this study, a low-design-cost and long-endurance unmanned aerial vehicle (UAV) based on the simple microcontroller board and mini-airship technique is proposed. Many well developed positioning sensors, such as GPS, 3-axis Gyroscope, Gravity-sensor and Magnetometer are used. In addition, the control model of Proportional-Integral-Derivative controller is applied to accomplish the long endurance purpose. Such a low-cost design has the potential to accelerate the application of UAV in a variety of video monitoring fields.

scholarly journals The IMPLEMENTATION OF AUTONOMOUS WAYPOINT IN RECONNAISSANCE PLANE (UNMANNED AERIAL VEHICLE) UAV GALAK-24 USE WITH MISSION PLANNER

2021 ◽  
Vol 2 (Oktober) ◽  
pp. 47-55
Author(s):  
Luthfan Herlambang ◽  
Eko Kuncoro ◽  
Muhamat Maariful Huda
Keyword(s):  
Remote Control ◽  
Unmanned Aerial Vehicle ◽  
Flight Data ◽  
Air Vehicle ◽  
Aerial Vehicle ◽  
The Military

Abstract: UAV or unmanned aerial vehicle is an air vehicle or what we often call an airplane that is controlled without a crew but controlled by a pilot remotely using a remote control. This study uses quantitative experiment methods because in this study it must be carried out when the UAV is flying using the autonomous waypoint method. Running the UAV with the autonomous waypoint method, we can use the Mission Planner software. First, we have to install the application on the mission planner and install pixhawk on the UAV which will act as the UAV brain that will receive and execute flight commands that will be sent by the mission planner later. The mission planner can also directly display flight data such as UAV altitude, UAV speed, UAV location, then the mission planner can also store flight data run by the UAV. The Autonomous waypoint method has been widely used in the military field, such as to carry out attacks on the enemy, reconnaissance, and patrol in an area quickly, and can also reduce casualties during combat operations.

COMPUTATIONAL FLUID DYNAMICS INVESTIGATION ON THE OUTER WING OF FLYING BOAT REMOTE CONTROL MODEL

2015 ◽  
Vol 76 (1) ◽  
Author(s):  
S. Syamsuar ◽  
E. B Djatmiko ◽  
A. S Mujahid ◽  
Erwandi Erwandi ◽  
Subchane Subchane
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Remote Control ◽  
Surface Effect ◽  
Hydrodynamic Characteristic ◽  
Control Model ◽  
Three Dimensions ◽  
Camera Tracking ◽  
Whole Process ◽  
Computational Fluid Dynamics Analysis

The experiment of Wing in Surface Effect craft A2B and A2C B type for (1 - 2) seaters prototype are the background of this research. The aerodynamic, hydrodynamic, thrust and weight data of these prototypes were already investigated. The best ratio of Thrust per Weight is around 0.4 from this experience to fulfill the liftoff condition from the water surface.  The step position on the hull as the theoretical prediction of Wing in Surface Effect craft is made (2 to 10)0 from center of gravity, c.g location to the step position. These formulas have been used to designing the Flying Boat remote control model. The whole process to build the remote control model is shown on this paper. The investigation of the outer wing of Flying Boat remote control model had been done to elaborate the aerodynamic and hydrodynamic characteristic. Included the laser photo camera tracking to 3 D model and Computational Fluid Dynamics analysis have been done also. The three dimensions (3 D) figures are evaluated by CATIA software and then these data results were transfer to the input of CFx Computational Fluid Dynamics (CFD) software. The meshing, pressure distribution and forces distributions during hydro planing of outer wing and pontoon of Flying Boat remote control model have been analyzed by CFx Computational Fluid Dynamics software. The Z force on the outer wing and pontoon showed a good result. 

scholarly journals Trajectory planning of quadrotor using sliding mode control with extended state observer

2020 ◽  
Vol 53 (7-8) ◽  
pp. 1300-1308
Author(s):  
Jun Xiao
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Trajectory Planning ◽  
Attitude Control ◽  
Sliding Mode ◽  
State Observer ◽  
Control Model ◽  
Extended State Observer ◽  
Extended State ◽  
Inner Model ◽  
Aerial Vehicle

This paper presents the trajectory planning of an under-actuated quadcopter unmanned aerial vehicle. To control the complete structure of the rotorcraft, the main model is divided into two sub-models, namely inner model and external model. The inner model is for the attitude control model controlled by the sliding mode controller and the outer model is altitude control model governed by the extended state observer. The quadrotor unmanned aerial vehicle is a type of multivariable, multi-degree-of-freedom and nonlinear in nature. Planning the trajectory of the unmanned aerial vehicle and stabilizing its flight are complex tasks because of its ability to maneuver quickly. Due to these stated issues, the tuning of this type of dynamic system is a difficult task. This paper deals with these issues by designing the aforementioned dual controller scheme. In addition, the effectiveness of the proposed controller is apparent in simulations performed in MATLAB, Simulink 2016. The designed controller shows better results and robustness than traditional controllers do.

scholarly journals Novel Experiment Design for Unmanned Aerial Vehicle Controller Performance Testing

2019 ◽  
Vol 533 ◽  
pp. 012026
Author(s):  
Cherub Dim ◽  
Francis Nabor ◽  
Giancarlo Santos ◽  
Martin Schoeler ◽  
Alvin Chua
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Performance Testing ◽  
Experiment Design ◽  
Controller Performance ◽  
Aerial Vehicle
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