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Thrust Vectoring Control for Heavy UAVs, Employing a Redundant Communication System.
Mohammad Sadeq Ale Isaac1,2, Ahmed Refaat Ragab3,4,5, Marco Andrés Luna1,6
1Computer Vision and Aerial Robotics Group, Centre for Automation and Robotics (CAR), Universidad Politécnica de Madrid (UPM-CSIC), 28006 Madrid, Spain.
This study introduces a new Robust Thrust Vectoring Control (RTVC) for heavy Unmanned Aerial Vehicles (UAVs). RTVC enhances communication sensor integration and system stability, performing comparably to traditional controllers.
Area of Science:
- Aerospace Engineering
- Control Systems
- Robotics
Background:
- Communication sensors are critical for Unmanned Aerial Systems (UASs) control.
- System reliability can be improved by integrating redundant sensors and actuators.
- Existing control methods may face challenges in heavy UAVs with specific propulsion systems.
Purpose of the Study:
- To propose a novel approach for integrating multiple sensors and actuators in heavy Unmanned Aerial Vehicles (UAVs).
- To design and evaluate a Robust Thrust Vectoring Control (RTVC) technique for enhanced UAV communication and stability.
- To assess the performance of RTVC against conventional control methods.
Main Methods:
- Integration of diverse sensors and actuators for heavy UAVs.
- Development of a Robust Thrust Vectoring Control (RTVC) algorithm.
- Comparative analysis of RTVC with cascade PID controllers.
Main Results:
- The proposed RTVC effectively controls communication modules and stabilizes UAV attitude.
- RTVC demonstrates performance comparable to cascade PID controllers, especially in multi-rotors with flaps.
- RTVC shows potential for increasing autonomy in UAVs with thermal engines.
Conclusions:
- Robust Thrust Vectoring Control (RTVC) offers a viable alternative for UAV control systems.
- The RTVC approach enhances system reliability and performance in heavy UAVs.
- RTVC is particularly suitable for UAVs where propellers cannot be used as control surfaces.
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