The high performance control for small rotary-wing unmanned aircraft based on composite control method

Lei, Xusheng; Lu, Pei; Liu, Fang

doi:10.1177/0142331214531811

Cited by 2 publications

(2 citation statements)

References 24 publications

(18 reference statements)

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“…Recently, IWSN hybridized with artificial intelligence (AI) techniques such as Neural Network (NN), Fuzzy Logic (FL), and Support Vector Machine (SVM) to implement smart wireless systems [15][16]. AI was used owing to its capability for signal identification and classification in a time or a frequency domain [17][18].…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of wireless system for vibration fault detection using fuzzy logic

Lilo

Mahammad

2020

IJ-AI

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This paper aims at constructing the wireless system for fault detecting and monitoring by computer depending on the wireless and fuzzy logic technique. Wireless applications are utilized to identify, classify, and monitor faults in the real time to protect machines from damage .Two schemes were tested; first scheme fault collected X-Y-Z-axes mode while the second scheme collected Y-axis mode, which is utilized to protect the induction motor (IM) from vibrations fault. The vibration signals were processed in the central computer to reduce noise by signal processing stage, and then the fault was classified and monitored based on Fuzzy Logic (FL). The wireless vibration sensor was designed depending on the wireless techniques and C++ code. A fault collection, noise reduction, vibration fault classification and monitoring were implemented by MATLAB code. In the second scheme the processed real time was reduced to 60%, which is included collection, filtering, and monitoring fault level. Results showed that the system has the ability to early detect the fault if appears on the machine with time processing of 1.721s. This work will reduce the maintenance cost and provide the ability to utilize the system with harsh industrial applications to diagnose the fault in real time processing.

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Section: Introductionmentioning

confidence: 99%

Design and implementation of wireless system for vibration fault detection using fuzzy logic

Lilo

Mahammad

2020

IJ-AI

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“…Along with the development of aerospace industry, micro aerial vehicles (MAVs) have attracted much attention of scholars and engineers owing to their wide range of applications, such as inspection, surveillance and reconnaissance in constrained environments (He and Zhang, 2017; Lei et al, 2014; Mclean and Prasad, 1980; Paranjape et al, 2010, 2013). Compared with simple rigid wings, the aircraft wings with flexible articulated structures provide much more advantages, including light weight, lower price, better flight agility and high performance (Paranjape et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Disturbance observer design and vibration control for a flexible aircraft wing

Zhang

Liu

2017

Transactions of the Institute of Measurement and Control

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This study focuses on the disturbance observer design and vibration control problems for a flexible aircraft wing system. The flexible aircraft wing is modeled as a coupled twist-bending infinite dimensional distributed parameter system. The dynamic equations and boundary conditions are described by partial differential equations and ordinary differential equations, respectively. In this paper, an infinite dimensional disturbance observer is proposed to estimate both the boundary disturbances and the distributed spatiotemporally varying disturbances. Considering the coupling between the bending deformation and the twist deformation, a boundary controller is proposed to suppress the vibration and inhibit the adverse effects of external disturbances. By using the proposed disturbance observer and controller, the uniform boundednesss of the closed-loop system is validated through theoretical analysis. Finally, simulation results are carried out to illustrate the effectiveness of the proposed infinite dimensional disturbance observer and boundary controller.

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The high performance control for small rotary-wing unmanned aircraft based on composite control method

Cited by 2 publications

References 24 publications

Design and implementation of wireless system for vibration fault detection using fuzzy logic

Design and implementation of wireless system for vibration fault detection using fuzzy logic

Disturbance observer design and vibration control for a flexible aircraft wing

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