Designing and Prototyping a Sensors Head for Test and Certification of Uav Components

Adamo, Francesco; Andria, G.; Nisio, Attilio Di; Lay-Ekuakille, A.; Mattencini, Giuseppe; Spadavecchia, Maurizio

doi:10.21307/ijssis-2017-228

Cited by 18 publications

(5 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This efficiency factor can be modelled through different strategies that can be found in the literature [21][22][23][24][25][26][27][28][29][30][31][32][33]. The studies show that the efficiency factor can be modelled as constant or as depending on current and voltage, which is analogous to current and angular speed.…”

Section: Figure 2 Monophase Equivalent Circuit Of a Bldc Motor R Is T...mentioning

confidence: 99%

See 1 more Smart Citation

Battery consumption estimation methodology for electric unmanned aerial systems

Rodríguez-Novillo

Sanchez-Carmona

2022

Aeronaut. j.

View full text Add to dashboard Cite

This study presents a methodology to estimate the battery consumption of an electric powerplant, based on brushless motors, typically used in light unmanned aerial systems. The methodology models brushless motors through an equivalent circuit obtained from their dynamic behaviour. Propellers’ data are taken from an experimental database. Furthermore, a variable speed controller efficiency is considered in the methodology. All the parameters involved in the model are adjusted by minimising the mean quadratic error of measurements taken in both direct and alternating currents. This model allows designers to predict energy consumption, also if any element of the powerplant changes, such as battery or propeller. Thus, it is useful for selecting the best powerplant for an actual RPAS operation. The results obtained to predict the current consumption of several electric powerplants show a coefficient of determination higher than 0.96. Finally, the methodology is validated by means of a case study of an actual RPAS, where the best powerplant is selected in terms of endurance.

show abstract

Section: Figure 2 Monophase Equivalent Circuit Of a Bldc Motor R Is T...mentioning

confidence: 99%

“…The most common design strategy of the propulsion system of current commercial RPAS is based on manufacturer experience [24,25], simple models [26] and/or commercial software [27][28][29]. These simple models are utilised to estimate the powerplant behaviour in an early stage of the design process.…”

Section: Introductionmentioning

confidence: 99%

Battery consumption estimation methodology for electric unmanned aerial systems

Rodríguez-Novillo

Sanchez-Carmona

2022

Aeronaut. j.

View full text Add to dashboard Cite

show abstract

“…The data processing on the data logger was made by reading the output signal of the load cell used in the weighing system, in which the measured weight had been converted into the thrust value [21,22]. A certain period is needed in order to avoid the oscillation of the response signal from the load cell, for getting more accurate data.…”

Section: Thrust Data Loggermentioning

confidence: 99%

Flight Stability Analysis of a Symmetrically-Structured Quadcopter Based on Thrust Data Logger Information

et al. 2018

View full text Add to dashboard Cite

Quadcopter flight stability is achieved when all of the rotors-propellers generate equal thrust in hover and throttle mode. It requires a control system algorithm for rotor speed adjustment, which is related with the translational vector and rotational angle. Even with an identical propeller and speed, the thrusts generated are not necessarily equal on all rotors-propellers. Therefore, this study focuses on developing a data logger to measure thrust and to assist in flight control on a symmetrically-structured quadcopter. It is developed with a four load cells sensor with two-axis characterizations and is able to perform real-time signal processing. The process includes speed adjustment for each rotor, trim calibration, and a proportional integral derivative (PID) control tuning system. In the data retrieval process, a quadcopter was attached with data logger system in a parallel axis position. Various speeds between 1200 rpm to 4080 rpm in throttle mode were analyzed to determine the stability of the resulting thrust. Adjustment result showed that the thrust differences between the rotors were less than 0.5 N. The data logger showed the consistency of the thrust value and was proved by repeated experiments with 118 s of sampling time for the same quadcopter control condition. Finally, the quadcopter flight stability as the result of tuning process by the thrust data logger was validated by the flight controller data.

show abstract

“…UAV platforms can be further distinguished as fixed-wing types, which allow monitoring of large areas from medium–high altitudes, and rotary-wing types, which allow observation of less extensive areas from medium–low altitudes. In recent years, the application of UAVs in precision agriculture as well as in many other fields is becoming more and more common, requiring test systems able to guarantee and certify both electrical and mechanical performance aspects of their propulsion subsystems [ 46 , 47 , 48 ].…”

Section: Introductionmentioning

confidence: 99%

Fast Detection of Olive Trees Affected by Xylella Fastidiosa from UAVs Using Multispectral Imaging

Nisio

Adamo

Acciani

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

Xylella fastidiosa (Xf) is a well-known bacterial plant pathogen mainly transmitted by vector insects and is associated with serious diseases affecting a wide variety of plants, both wild and cultivated; it is known that over 350 plant species are prone to Xf attack. In olive trees, it causes olive quick decline syndrome (OQDS), which is currently a serious threat to the survival of hundreds of thousands of olive trees in the south of Italy and in other countries in the European Union. Controls and countermeasures are in place to limit the further spreading of the bacterium, but it is a tough war to fight mainly due to the invasiveness of the actions that can be taken against it. The most effective weapons against the spread of Xf infection in olive trees are the detection of its presence as early as possible and attacks to the development of its vector insects. In this paper, image processing of high-resolution visible and multispectral images acquired by a purposely equipped multirotor unmanned aerial vehicle (UAV) is proposed for fast detection of Xf symptoms in olive trees. Acquired images were processed using a new segmentation algorithm to recognize trees which were subsequently classified using linear discriminant analysis. Preliminary experimental results obtained by flying over olive groves in selected sites in the south of Italy are presented, demonstrating a mean Sørensen–Dice similarity coefficient of about 70% for segmentation, and 98% sensitivity and 93% precision for the classification of affected trees. The high similarity coefficient indicated that the segmentation algorithm was successful at isolating the regions of interest containing trees, while the high sensitivity and precision showed that OQDS can be detected with a low relative number of both false positives and false negatives.

show abstract

Designing and Prototyping a Sensors Head for Test and Certification of Uav Components

Cited by 18 publications

References 54 publications

Battery consumption estimation methodology for electric unmanned aerial systems

Battery consumption estimation methodology for electric unmanned aerial systems

Flight Stability Analysis of a Symmetrically-Structured Quadcopter Based on Thrust Data Logger Information

Fast Detection of Olive Trees Affected by Xylella Fastidiosa from UAVs Using Multispectral Imaging

Contact Info

Product

Resources

About