scholarly journals Flight Time Estimation for Continuous Surveillance Missions Using a Multirotor UAV

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 867 ◽  
Author(s):  
Sunghun Jung ◽  
Yonghyeon Jo ◽  
Young-Joon Kim
Keyword(s):  
Power Management ◽  
Time Estimation ◽  
Flight Time ◽  
State Of Charge ◽  
Soc Estimation ◽  
Complementary Filter ◽  
Flight Mode ◽  
Aerial Vehicle ◽  
Power Management System ◽  
Solar Powered

To achieve the continuous surveillance capable multirotor type solar-powered unmanned aerial vehicle (UAV), we develop the photovoltaic power management system (PPMS) which manages power from photovoltaic (PV) modules and a battery pack to support the power of the UAV. To estimate the possible flight time of the UAV, we use the concept of state of charge (SOC) estimation based on the extended Kalman filter (EKF) and complementary filter (CF) and then calculate the possible flight time by using the slope of the SOC graph during hovering flight mode. According to the results, estimated flight time increases up to 54.14 min at 11:00 a.m. and decreases down to 6.70 min at 18:00 p.m.

scholarly journals Integrated Process Control‐Power Management System Design and Flight Performance Tests for Fuel Cell Powered Mini‐Unmanned Aerial Vehicle

2021 ◽  
Vol 9 (3) ◽  
pp. 2170031
Author(s):  
Betül Erdör Türk ◽  
Mustafa Hadi Sarul ◽  
Ekrem Çengelci ◽  
Çiğdem İyigün Karadağ ◽  
Fatma Gül Boyacı San ◽  
...  
Keyword(s):  
Fuel Cell ◽  
System Design ◽  
Power Management ◽  
Unmanned Aerial Vehicle ◽  
Flight Performance ◽  
Performance Tests ◽  
Integrated Process ◽  
Control Power ◽  
Aerial Vehicle ◽  
Power Management System

scholarly journals Stochastic Drift Counteraction Optimal Control of a Fuel Cell-Powered Small Unmanned Aerial Vehicle

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1304
Author(s):  
Jiadi Zhang ◽  
Ilya Kolmanovsky ◽  
Mohammad Reza Amini
Keyword(s):  
Optimal Control ◽  
Fuel Cell ◽  
Power Management ◽  
Unmanned Aerial Vehicle ◽  
Power Output ◽  
Optimal Policy ◽  
Flight Time ◽  
Aerial Vehicle ◽  
Optimal Coordination ◽  
Value Iterations

This paper investigates optimal power management of a fuel cell hybrid small unmanned aerial vehicle (sUAV) from the perspective of endurance (time of flight) maximization in a stochastic environment. Stochastic drift counteraction optimal control is exploited to obtain an optimal policy for power management that coordinates the operation of the fuel cell and battery to maximize the expected flight time while accounting for the limits on the rate of change of fuel cell power output and the orientation dependence of fuel cell efficiency. The proposed power management strategy accounts for known statistics in transitions of propeller power and climb angle during the mission, but does not require the exact preview of their time histories. The optimal control policy is generated offline using value iterations implemented in Cython, demonstrating an order of magnitude speedup as compared to MATLAB. It is also shown that the value iterations can be further sped up using a discount factor, but at the cost of decreased performance. Simulation results for a 1.5 kg sUAV are reported that illustrate the optimal coordination between the fuel cell and the battery during aircraft maneuvers, including a turnpike in the battery state of charge (SOC) trajectory. As the fuel cell is not able to support fast changes in power output, the optimal policy is shown to charge the battery to the turnpike value if starting from a low initial SOC value. If starting from a high SOC value, the battery energy is used till a turnpike value of the SOC is reached with further discharge delayed to later in the flight. For the specific scenarios and simulated sUAV parameters considered, the results indicate the capability of up to 2.7 h of flight time.

Integrated Process Control‐Power Management System Design and Flight Performance Tests for Fuel Cell Powered Mini‐Unmanned Aerial Vehicle

2021 ◽  
pp. 2000879
Author(s):  
Betül Erdör Türk ◽  
Mustafa Hadi Sarul ◽  
Ekrem Çengelci ◽  
Çiğdem İyigün Karadağ ◽  
Fatma Gül Boyacı San ◽  
...  
Keyword(s):  
Fuel Cell ◽  
System Design ◽  
Power Management ◽  
Unmanned Aerial Vehicle ◽  
Flight Performance ◽  
Performance Tests ◽  
Integrated Process ◽  
Control Power ◽  
Aerial Vehicle ◽  
Power Management System

scholarly journals Sistem Kontrol Pesawat Tanpa Awak Untuk Menentukan Waypoint Berbasis Ardupilot

2021 ◽  
Vol 2 (2) ◽  
pp. 80-86
Author(s):  
Putri Rachmawati ◽  
Muhammad Haydar Asyam
Keyword(s):  
Control System ◽  
Remote Control ◽  
Computer System ◽  
Long Range ◽  
Unmanned Aerial Vehicle ◽  
Flight Time ◽  
Flight Mode ◽  
Model Aircraft ◽  
Aerial Vehicle ◽  
Remote System

An unmanned Aerial Vehicle (UAV) is a type of unmanned aerial vehicle which is controlled by a remote system. This type of aircraft is usually controlled by remote control from outside the plane and can also move automatically based on a program that has been programmed on the computer system. In this study, a control system with autopilot and remote control is used. This study aims to apply the ardupilot system to the super heavy model aircraft with a long-range flight mode control system using the Futaba T8J (8 channel) radio control. The results of this study took a flight time of 15.02 minutes with an altitude of 30 meters, a waypoint radius of 20 meters with a speed of 10 m / s.

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