학술논문

AI-based fault-tolerant controller design for handling both actuator and sensor faults of multirotors
Document Type
Conference
Source
2022 International Conference on Unmanned Aircraft Systems (ICUAS) Unmanned Aircraft Systems (ICUAS), 2022 International Conference on. :599-607 Jun, 2022
Subject
Aerospace
Robotics and Control Systems
Transportation
Actuators
Fault tolerance
Neural networks
Fault tolerant systems
Estimation
Rotors
Reinforcement learning
Language
ISSN
2575-7296
Abstract
The main contribution of this paper is to present a control scheme that can be used to handle both actuator and sensor faults. The proposed control uses neural networks to learn faulty behaviors and compensate the effects of faults in multi-rotors. Experimental test has been conducted to demonstrate the effectiveness of the proposed scheme.