Design and Manufacture of Composite Landing Gear for a Light Unmanned Aerial Vehicle

Liang, Yen-Chu; Chin, Pei-Chieh; Sun, Yun-Ping; Wang, Muh-Rong

doi:10.3390/app11020509

Cited by 13 publications

(7 citation statements)

References 10 publications

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“…[87], low-level swept field tests were employed to analyze the variations in shielding effectiveness among different materials, including carbon fiber composites and Shell shielding involves using materials with electromagnetic shielding or absorbing properties for the UAV's outer shell to minimize the transmission of EMI to the internal system. Commonly used materials in UAV shell manufacturing include carbon fiber composites, glass fiber composites, and plastics, chosen for their lightweight characteristics [83]. While these materials may have excellent mechanical properties, they often lack sufficient electrical conductivity to effectively shield against electromagnetic waves.…”

Section: Shielding Protectionmentioning

confidence: 99%

Strong Electromagnetic Interference and Protection in UAVs

Zhang,

Zhou,

Zhang

et al. 2024

Electronics

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With the proliferation of unmanned aerial vehicles (UAVs) and the escalating electromagnetic environment in space, there has been growing attention and research focus on the strong electromagnetic effects and electromagnetic protection design of UAVs. This paper aims to introduce the potential strong electromagnetic interference that UAVs may encounter during flight. It specifically concentrates on three crucial subsystems: the datalink system, the flight control and navigation system, and the power system. The goal is to provide an overview of the current state of research on the strong electromagnetic effects of UAVs, along with a discussion of commonly employed research methods. Additionally, this paper introduces various means of strong electromagnetic protection that can be utilized for UAVs. Finally, it concludes with a summary of the research status and development trends concerning the effects of strong electromagnetic interference and the corresponding protection measures for UAVs.

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Section: Shielding Protectionmentioning

confidence: 99%

Strong Electromagnetic Interference and Protection in UAVs

Zhang,

Zhou,

Zhang

et al. 2024

Electronics

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“…Carbon fiber reinforced composites have gained widespread adoption in various industries, including vehicle transportation [ 1 , 2 ], military equipment [ 3 , 4 ], and aerospace [ 5 , 6 ], owing to their inherent benefits such as a high, specific strength and stiffness. However, the utilization of carbon fiber composites inevitably exposes them to low-velocity impact loads during operational usage, which can result in concealed internal damage and a notable degradation in the mechanical properties of the structure [ 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Low Velocity Impact Monitoring of Composite Tubes Based on FBG Sensors

Huan,

Lu,

Shen

et al. 2024

Sensors

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Carbon fiber reinforced composites (CFRP) are susceptible to hidden damage from low velocity external impacts during their service life. To ensure the proper monitoring of the state of the composites, it is crucial to predict the location of an impact event. In this paper, fiber Bragg grating (FBG) sensors are affixed to the surface of a carbon fiber composite tube, and an optical sensing interrogator is used to capture the central wavelength shift of the FBG sensors due to low-velocity impacts. A discrete wavelet transform is used for noise reduction in the response signals. Then, the differences in the captured response signals of the FBG sensors at different locations of the impact were analyzed. Moreover, two methods were implemented to predict the location of low-velocity impacts, according to the differences in the captured response signals. The BP neural network-based method utilized three data sets to train the neural network, resulting in an average localization error of 20.68 mm. In contrast, the method based on error outliers selected a specific data set as the reference dataset, achieving an average localization error of 13.98 mm. The comparison of the predicted results shows that the latter approach has a higher predictive accuracy and does not require a significant amount of data.

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“…Retractable or adjustable landing gear allows for unobstructed shots or videos with increased aerodynamic efficiency which is discussed by Huang in [6]. Liang, Chin, Sun, and Wang [7] implemented skid landing gear in UAV because of its lightweight and suitability for confined spaces. Campi, Cruciani, Maradei, and Feliziani [8] studied the dynamics of fixed landing gear in larger drones for rough terrains and found that landing of UAVs on flat surfaces is stable than on rough terrains.…”

Section: Introductionmentioning

confidence: 99%

Spider Monkey Metaheuristic Tuning of Model Predictive Control with Perched Landing Stabilities for Novel Auxetic Landing Foot in Drones

Jawahar,

S.N.

et al. 2024

ELEKTRON ELEKTROTECH

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The study focuses on improving drone landing gear dynamics through an innovative auxetic foot design, leveraging Spider Monkey Optimization for Model Predictive Control adjustment, facilitated by an Arduino-MATLAB interface. The auxetic foot design incorporates materials with a negative Poisson ratio, which allows the foot to expand and enhance energy absorption during landings. This design improves stability and safety during the perched landing process. The SMO-MPC approach is used to optimise the control of the perched landing gear. SMO, inspired by spider monkey search behaviour, optimises auxetic foot control input sequences with the limits of rotational displacement (theta = 30 deg to -30 deg) on the prediction horizon to improve landing gear performance. The real-time implementation of SMO-MPC is achieved through an Arduino-MATLAB interface on quadcopter drone. A comparative analysis is conducted to evaluate the benefits of SMO-MPC compared to conventional MPC methods. The results show that the SMO-MPC approach with auxetic foot design surpasses conventional MPC methods in terms of landing performance with 14.6 % improvement in damping force control and control of aerodynamic stability with pitch of 34.16 %, yaw of 16.87 %, and roll of 31.74 %.

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Design and Manufacture of Composite Landing Gear for a Light Unmanned Aerial Vehicle

Cited by 13 publications

References 10 publications

Strong Electromagnetic Interference and Protection in UAVs

Strong Electromagnetic Interference and Protection in UAVs

Low Velocity Impact Monitoring of Composite Tubes Based on FBG Sensors

Spider Monkey Metaheuristic Tuning of Model Predictive Control with Perched Landing Stabilities for Novel Auxetic Landing Foot in Drones

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