Developing Requirements for the Unmanned Aircraft Sense and Avoid Function

Author(s):  
Andrew Zeitlin
2021 ◽  
Vol 8 (4) ◽  
pp. 801
Author(s):  
Agus Hendra Wahyudi

<p class="Abstrak">Perancangan sensor radar untuk <em> sense and avoid </em>(SAA) sistem pesawat tanpa awak (UAV) bertujuan agar operasi teletransport alat kesehatan dengan UAV VTOL berjalan dengan aman terhindar dari kecelakaan tabrakan di udara. Sensor radar ini didesain dengan bahan duroid 5880 dengan dielektrik konstant 2.2 dan ketebalan subtrate 1.57 mm. Bentuk antenna circular dan bekerja di pita ku-band 14 Ghz. Terdapat dua sensor untuk Tx dan Rx dalam satu substrate. Hasil simulasi sensor menunjukkan bandwitdh yang lebar 1.5 GHz  sehingga mampu menghasilkan resolusi range sangat baik yaitu 9.2 cm. Penguatan antenna dihasilkan 7.32 dB dan sudut beamwidth sensor 83<sup>O</sup> arah azimuth dan 78.2<sup>O </sup>arah elevasi. Sensor ini akan disematkan pada sistem SAA dengan algoritma neural network yang mendrive manuever UAV VTOL berbelok kesamping pada sudut dan jarak yang tepat sehingga terhindar dari tabrakan dengan objek penghalang.</p><p class="Abstrak"><strong><br /></strong></p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Abstract"><em>The design of the radar sensor for the sense and avoid (SAA) system of unmanned aircraft (UAV) aims to make teletransport operations of medical devices with UAV VTOL run safely avoiding collisions in the air. This radar sensor is designed with duroid 5880 material with a dielectric constant of 2.2 and a subtrate thickness of 1.57 mm. The antenna is circular and works on the 14 Ghz ku-band band. There are two sensors for Tx and Rx in one substrate. The sensor simulation results show a wide bandwidth of 1.5 GHz so that it is able to produce a very good range resolution of 9.2 cm. The antenna gain was 7.32 dB and the beamwidth angle of the sensor was 83<sup>O</sup> in the azimuth direction and 78.2<sup>O</sup> in the elevation direction. This sensor will be embedded in the SAA system with a neural network algorithm that drives the UAV VTOL maneuver to turn sideways at the right angle and distance so that it avoids collisions with obstructions.</em></p><p class="Abstrak"><em><strong><br /></strong></em></p>


2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Giancarmine Fasano ◽  
Domenico Accardo ◽  
Lidia Forlenza ◽  
Alfredo Renga ◽  
Giancarlo Rufino ◽  
...  

This paper focuses on a hardware-in-the-loop facility aimed at real-time testing of architectures and algorithms of multisensor sense and avoid systems. It was developed within a research project aimed at flight demonstration of autonomous non-cooperative collision avoidance for Unmanned Aircraft Systems. In this framework, an optionally piloted Very Light Aircraft was used as experimental platform. The flight system is based on multiple-sensor data integration and it includes a Ka-band radar, four electro-optical sensors, and two dedicated processing units. The laboratory test system was developed with the primary aim of prototype validation before multi-sensor tracking and collision avoidance flight tests. System concept, hardware/software components, and operating modes are described in the paper. The facility has been built with a modular approach including both flight hardware and simulated systems and can work on the basis of experimentally tested or synthetically generated scenarios. Indeed, hybrid operating modes are also foreseen which enable performance assessment also in the case of alternative sensing architectures and flight scenarios that are hardly reproducible during flight tests. Real-time multisensor tracking results based on flight data are reported, which demonstrate reliability of the laboratory simulation while also showing the effectiveness of radar/electro-optical fusion in a non-cooperative collision avoidance architecture.


2018 ◽  
Vol 15 (8) ◽  
pp. 501-517 ◽  
Author(s):  
Laith R. Sahawneh ◽  
Jared K. Wikle ◽  
A. Kaleo Roberts ◽  
Jonathan C. Spencer ◽  
Timothy W. McLain ◽  
...  

2012 ◽  
Vol 49 (3) ◽  
pp. 677-687 ◽  
Author(s):  
Xavier Prats ◽  
Luis Delgado ◽  
Jorge Ramírez ◽  
Pablo Royo ◽  
Enric Pastor

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