Adaptive fault-tolerant control for carrier-based UAV with actuator failures

Zhen, Z.Y.; Yang, Liuqing; Wen, Liyan

doi:10.1016/j.ast.2020.106227

Cited by 28 publications

(8 citation statements)

References 25 publications

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“…In [94], the authors designed an FTC method using an adaptive control methodology for application to the automatic carrier landing system subjected to actuators failures. Simulation results on a fix-wing aircraft verified the suggested approach.…”

Section: Fault Tolerant Control Methods In Uavsmentioning

confidence: 99%

A Survey on Fault Diagnosis and Fault-Tolerant Control Methods for Unmanned Aerial Vehicles

Fourlas

Karras

2021

Machines

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The continuous evolution of modern technology has led to the creation of increasingly complex and advanced systems. This has been also reflected in the technology of Unmanned Aerial Vehicles (UAVs), where the growing demand for more reliable performance necessitates the development of sophisticated techniques that provide fault diagnosis and fault tolerance in a timely and accurate manner. Typically, a UAV consists of three types of subsystems: actuators, main structure and sensors. Therefore, a fault-monitoring system must be specifically designed to supervise and debug each of these subsystems, so that any faults can be addressed before they lead to disastrous consequences. In this survey article, we provide a detailed overview of recent advances and studies regarding fault diagnosis, Fault-Tolerant Control (FTC) and anomaly detection for UAVs. Concerning fault diagnosis, our interest is mainly focused on sensors and actuators, as these subsystems are mostly prone to faults, while their healthy operation usually ensures the smooth and reliable performance of the aerial vehicle.

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Section: Fault Tolerant Control Methods In Uavsmentioning

confidence: 99%

A Survey on Fault Diagnosis and Fault-Tolerant Control Methods for Unmanned Aerial Vehicles

Fourlas

Karras

2021

Machines

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“…An adaptive fault-tolerant control method is proposed for handling actuator failures during the tracking of the desired glide path by the carrier-based aircraft. Comparative results show that the improved robust adaptive fault-tolerant control can effectively handle both parametric and nonparametric faults as well as external disturbances [41]. Compensation for faults and uncertainty terms in the carrier-based UAV is made using adaptive prescribed performance control methods [42].…”

Section: Introductionmentioning

confidence: 99%

Prescribed Performance Fault-Tolerant Attitude Tracking Control for UAV with Actuator Faults

Wu,

Zhu

2024

Drones

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This paper proposes a prescribed performance fault-tolerant control based on a fixed-time extended state observer (FXTESO) for a carrier-based unmanned aerial vehicle (UAV). First, the attitude motion model of the UAV is introduced. Secondly, the proposed FXTESO is designed to estimate the total disturbances including coupling, actuator faults and external disturbances. By using the barrier Lyapunov function (BLF), it is proved that under prescribed performance control (PPC), the attitude tracking error is stable within the prescribed range. The simulation results for tracking the desired attitude angle show that the average overshoot and stabilization time of PPC-FXTESO is 0.00455rad and 6.2s. Comparatively, the average overshoots of BSC-ESO and BSC-FTESO are 0.035rad and 0.027rad, with stabilization times of 14.97s and 12.56s, respectively. Therefore, the control scheme proposed in this paper outperforms other control schemes.

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“…Further, [12] proposed allocating pseudo-inverse control between healthy operators, which is considered as an active FTC for the failure mode of multiple motors and rotors of UAVs. Furthermore, [20] offered an adaptive FTC for an automatic carrier landing system for sensor failures. In another study, [21] designed active FTC for UAVs applying a bank of sliding mode controllers to perform best for a specific fault.…”

Section: Introductionmentioning

confidence: 99%

Monitoring UAV Status and Detecting Insulation Defects in Transmission Lines with a New Hybrid Classifier based on the Type-2 Fuzzy and Neural Networks

Amiri,

Pourgholi,

Hashjin

et al. 2023

Preprint

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Monitoring the condition of the transmission lines maintains the health of the power system, prevents unwanted outages, and reduces the costs of repairs and maintenance. This study aims to present a method for monitoring the UAV status and detecting insulation defects in transmission lines with a new hybrid classifier based on the type-2 fuzzy and neural networks. To this aim, the data are preprocessed and balanced, along with the mapping feature vector. Then, two new classifiers are proposed for the image and numerical datasets. The proposed hybrid structure for numerical data contains a Probabilistic Neural Network (PNN), Support Vector Machine (SVM) optimized with Gray Wolf Optimization (GWO) algorithm, and Deep Neural Network (DNN). For image data, the proposed structure is considered as a combination of Convolutional Neural Network (CNN) for feature extraction and three class perceptron classifiers with a hidden layer, SVM optimized with GWO algorithm, and DNN. Finally, the output of the three classifiers enters the Interval Type-2 Mamdani Fuzzy Logic system (IT2FLS) optimized with the Chaos Game Optimization (CGO) algorithm to determine the final state in order to monitor the UAV status and detect the insulation defects. To verify the validity the above-mentioned structure, it is implemented in the MATLAB environment and a laboratory setup is prepared to receive information from the Internet and display the status on the user's mobile phone. The results of the hybrid classifier are compared with those of the previous study. In addition, the classifier proposed for other applications is assessed with two test datasets from the UCI Machine Learning repository to check the generalizability. Based on the results, the proposed hybrid classifier exhibits more accuracy than the other conventional ones.

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Adaptive fault-tolerant control for carrier-based UAV with actuator failures

Cited by 28 publications

References 25 publications

A Survey on Fault Diagnosis and Fault-Tolerant Control Methods for Unmanned Aerial Vehicles

A Survey on Fault Diagnosis and Fault-Tolerant Control Methods for Unmanned Aerial Vehicles

Prescribed Performance Fault-Tolerant Attitude Tracking Control for UAV with Actuator Faults

Monitoring UAV Status and Detecting Insulation Defects in Transmission Lines with a New Hybrid Classifier based on the Type-2 Fuzzy and Neural Networks

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