Numerical simulation and experimental verification on downwash air flow of six-rotor agricultural unmanned aerial vehicle in hover

Yang, Fengbo; Xue, Xianghui; Zhang, Ling; Sun, Zhu

doi:10.25165/j.ijabe.20171004.3077

Cited by 45 publications

(35 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The group including Yang and Xue from Nanjing Research Institute for Agricultural Mechanization continuously focused on multi-rotor CFD. They firstly applied CFD to simulate a six-rotor UAV, SLK-5, and combined with wind-investigation experiments to obtain the characteristics of both maximum entire velocity and Z-direction wind [56] . However, the test error was big (less than or equal to 12%) so that the experimental design and the details of CFD models were required to be optimised.…”

Section: Examination By Using Cfdmentioning

confidence: 99%

Research status and trends of downwash airflow of spray UAVs in agriculture

Yang

Zheng

Liu

2019

International Journal of Precision Agricultural Aviation

View full text Add to dashboard Cite

Downwash airflow of spray UAVs in agriculture has been gradually focused on and a few studies have already been involved in it. Thus, this paper firstly reviewed the current research of downwash airflow of UAVs for agricultural spray. It is found that Chinese scholars have published the majority of the studies in this area. Furthermore, two aspects of this kind of research, one, the work related to the caused results of UAV downwash acting on spray, the other, that regarding downwash itself for investigation, were analysed. It is illustrated that the present research usually uses water-sensitive paper, electronic devices, like wind-speed arrays and PIV, and CFD simulation. However, the existed electronic devices have some limitations, such as lacking of the ability of showing and demonstration of downwash in big enough areas in detail during recording. Moreover, the studies directly related to downwash have been just launched around the world and the examination for multi-rotor UAVs is even seriously not enough. Therefore, in terms of research trends, it is significant to develop specialised sensors for downwash measurement. The general and reliable CFD models of a class of UAVs are also needed. In addition, the combination of UAV downwash with real applications and actual production is important for the clarification of the details in different situations.

show abstract

Section: Examination By Using Cfdmentioning

confidence: 99%

Research status and trends of downwash airflow of spray UAVs in agriculture

Yang

Zheng

Liu

2019

International Journal of Precision Agricultural Aviation

View full text Add to dashboard Cite

show abstract

“…In regards to the choice of sUAS flight platform, and optimal integration of sensor to the platform, the effects of the flow field of the sUAS should be further considered. In particular, the effect of the downwash caused by the rotating rotor blades [35,36] can distort the shape (concentration field) of the methane plume, which could then complicate the use of algorithms to infer source mass flow based on the measured flow field. Indeed, future research will focus on inferring mass-flow (and source location) from the sUAS methane concentration maps and wind data [15,[37][38][39].…”

Section: Discussionmentioning

confidence: 99%

Cavity Ring-Down Methane Sensor for Small Unmanned Aerial Systems

Martı́nez

Miller

Yalin

2020

Sensors

View full text Add to dashboard Cite

We present the development, integration, and testing of an open-path cavity ring-down spectroscopy (CRDS) methane sensor for deployment on small unmanned aerial systems (sUAS). The open-path configuration used here (without pump or flow-cell) enables a low mass (4 kg) and low power (12 W) instrument that can be readily integrated to sUAS, defined here as having all-up mass of <25 kg. The instrument uses a compact telecom style laser at 1651 nm (near-infrared) and a linear 2-mirror high-finesse cavity. We show test results of flying the sensor on a DJI Matrice 600 hexacopter sUAS. The high sensitivity of the CRDS method allows sensitive methane detection with a precision of ~10–30 ppb demonstrated for actual flight conditions. A controlled release setup, where known mass flows are delivered, was used to simulate point-source methane emissions. Examples of methane plume detection from flight tests suggest that isolated plumes from sources with a mass flow as low as ~0.005 g/s can be detected. The sUAS sensor should have utility for emissions monitoring and quantification from natural gas infrastructure. To the best of our knowledge, it is also the first CRDS sensor directly deployed onboard an sUAS.

show abstract

“…While UAVs are actively deployed for gas monitoring, deficiencies in current UAV-based monitoring equipment still need to be addressed. The UAV propellers can cause airflow disturbance, which will change the concentration of the original gas and PM in conditions without UAV airflow [22][23][24]. Roldan et al found that gas measurements with moving and stationary rotors are different and the average relative errors for temperature, humidity, and CO 2 concentration are 3.71%, 1.65%, and 3.84%, respectively [25].…”

Section: Introductionmentioning

confidence: 99%

An Unmanned Aerial Vehicle-Based Gas Sampling System for Analyzing CO2 and Atmospheric Particulate Matter in Laboratory

Han

Peng

et al. 2020

Sensors

View full text Add to dashboard Cite

We developed and tested an unmanned aerial vehicle-based gas sampling system (UGSS) for collecting gases and atmospheric particulate matter (PM). The system applies an alternative way of collecting both vertical and horizontal transects of trace gases in order to analyze them in the laboratory. To identify the best position of the UGSS intake port, aerodynamic flow simulations and experimental verifications of propeller airflow were conducted with an unmanned aerial vehicle (UAV) in hover mode. The UGSS will automatically replace the original gas in the system with gas from a target location to avoid the original gas being stored in the air bags. Experimental results show that the UGSS needs 5 s to replace the system’s own original gas using its pump. CO2 and PM2.5/10 above the corn field are used as the test species to validate the accuracy of the CO2 gas and PM concentrations collected by UGSS. Deming regression analyses showed good agreement between the measurements from the UGSS and the ground sampling station (y = 1.027x – 11.239, Pearson’s correlation coefficient of 0.98 for CO2; y = 0.992x + 0.704, Pearson’s correlation coefficient of 0.99 for PM).The UGSS provides a measuring method that actively collects gases and PM for manual analyses in the laboratory.

show abstract

Numerical simulation and experimental verification on downwash air flow of six-rotor agricultural unmanned aerial vehicle in hover

Cited by 45 publications

References 15 publications

Research status and trends of downwash airflow of spray UAVs in agriculture

Research status and trends of downwash airflow of spray UAVs in agriculture

Cavity Ring-Down Methane Sensor for Small Unmanned Aerial Systems

An Unmanned Aerial Vehicle-Based Gas Sampling System for Analyzing CO2 and Atmospheric Particulate Matter in Laboratory

Contact Info

Product

Resources

About