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 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.

Stepdown Converter of a Fuel-Cell-Based Power Plant for an Unmanned Aerial Vehicle

2021 ◽  
Vol 92 (10) ◽  
pp. 618-622
Author(s):  
Yu. A. Burtsev ◽  
A. V. Pavlenko ◽  
I. V. Vasyukov ◽  
V. S. Puzin ◽  
A. V. Zhivodernikov
Keyword(s):  
Fuel Cell ◽  
Power Plant ◽  
Unmanned Aerial Vehicle ◽  
Aerial Vehicle

Comparison of Measured and Computed Flight Performance of a 33-kg Unmanned Aerial Vehicle

2016 ◽  
Vol 29 (3) ◽  
pp. 04015064
Author(s):  
Christopher S. Chaney ◽  
Konstantin I. Matveev ◽  
Jacob W. Leachman
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Flight Performance ◽  
Aerial Vehicle
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