Aerodynamic Effects Compensation on Multi-Rotor UAVs Based on a Neural Network Control Allocation Approach

Keyphrases

• Allocation Approach 100%
• Control Allocation 100%
• Aerodynamic Effect 100%
• Multi-rotor UAV 100%
• Neural Network Control 100%
• Neural Network 50%
• Allocation Matrix 50%
• System Performance 25%
• Actuator 25%
• Drone 25%
• Less Noise 25%
• Network Training 25%
• PID Controller 25%
• Quadrotor 25%
• Low Computational Power 25%
• Aerodynamics 25%
• Flight Control 25%
• Flight Controller 25%
• Allocation Algorithm 25%
• Closed-loop Performance 25%
• Mechanical Torque 25%
• Parrot 25%
• Torque Signal 25%
• PD-PID 25%
• Quadrotor System 25%
• Control Input 25%

Engineering

• Unmanned Aerial Vehicle 100%
• Rotors 100%
• Aerodynamic Effect 100%
• Closed Loop 33%
• Drone 33%
• Computational Power 33%
• Flight Control 33%
• Control Input 33%
• Mechanical Torque 33%
• Network Training 33%
• Systems Performance 33%
• Target System 33%