Design and Simulation of Air-Fuel Percentage Sensors in Drone Engine Controlling

Authors

  • Mohammed Abdulla Abdulsada Department of Computer Techniques Engineering, Dijlah University College, Baghdad, Iraq
  • Mohammed Wajeeh Hussein Department of Computer Techniques Engineering, Dijlah University College, Baghdad, Iraq
  • Jabbar Shatti Jahlool Department of Computer Techniques Engineering, Dijlah University College, Baghdad, Iraq
  • Majid S. Naghmash Department of Computer Techniques Engineering, Dijlah University College, Baghdad, Iraq

DOI:

https://doi.org/10.48048/tis.2022.1713

Keywords:

Drone engine, Air-to-fuel ratio, Sensor fault, Matlab/Simulink

Abstract

This paper presents the design and simulation of air-fuel percentage sensors in drone engine control using Matlab. The applications of sensor engineering system have been pioneer in technology development and advancement of automated machine as complex systems. The integration of drone fuel sensor system is the major series components such as injector, pumps and switches. The suggested model is tuned to interface drone fuel system with fuel flow in order to optimize efficient monitoring. The sensor system is improved and virtualized in Simulink block set by varying the parameters with high range to observe the fuel utilization curves and extract the validated results. The obtained results show that the possibility of engine operation in critical conditions such as takeoff, landing, sharp maneuver and performance is applicable to turn off the system in case of break down in the sensor to ensure the safety of drone engine.

HIGHLIGHTS

  • The drone engine fuel rate sensor is designed and examined to determine the air-to-fuel ratio
  • The suggested model is tuned to interface drone fuel system with fuel flow in order to optimize efficient monitoring
  • The obtained results show that the possibility of using engine with different failure mode and fault considerations
  • The represented control structure is simple, efficient and provides the required air-to-fuel ratio

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Published

2022-01-01

Issue

Vol. 19 No. 1 (2022): Trends in Sciences, Volume 19, Number 1, 1 January 2022

Section

Research Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.