A versatile Simulation environment for Design Verification, System Integration Testing and Pilot Training of a diamond-shaped Unmanned Aerial Vehicle

The paper titled "Unmanned aerial vehicle pilot training" is focused on the analysis of unmanned aerial vehicle pilot training and the importance of using an unmanned flight simulator during the practical training of unmanned aerial vehicle pilots. For the realization of the paper, we used a device that served to measure the mental workload of unmanned aerial vehicle pilots during simulated and practical flight. Our experiment involved 5 unmanned aerial vehicle pilots in training who had zero or minimal flying experience. The aim of this work was to investigate to what extent mental workload acts on UAV pilots during simulated and practical flights. The measurements and their analysis showed that a much greater load is exerted on the pilots of unmanned aerial vehicles during practical flight. Through a primary experiment of already experienced pilots, we concluded that the majority of respondents would welcome the opportunity to use an unmanned flight simulator during their training. The paperconcludes with a summary of the individual measurement results, graphical representations of the respondents' answers, as well as an implementation design that could be applied to the training of UAV pilots.

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Development of an autonomous object transfer system by an unmanned aerial vehicle based on binocular vision

International Journal of Advanced Robotic Systems ◽

10.1177/1729881420907732 ◽

2020 ◽

Vol 17 (1) ◽

pp. 172988142090773

Author(s):

Xu Liu ◽

Bo Chen ◽

Yuqing He ◽

Decai Li

Keyword(s):

Unmanned Aerial Vehicle ◽

System Integration ◽

Planning And Scheduling ◽

Hardware System ◽

Vehicle System ◽

Software Algorithms ◽

Aerial Vehicle ◽

Computer Codes ◽

And Control ◽

High Degree

This article describes the development of an unmanned aerial vehicle system that had a remarkable performance in the 6th International Unmanned Aerial Vehicle Innovation Grand Prix, which was held on November 2–4, 2018, in Anji, China. The main mission of the competition was to build a simulated tower using prefabricated components by an unmanned rotorcraft, which could be decomposed into the following four subtasks: (1) navigation and control, (2) recognition and location, (3) grasp and construction, and (4) task planning and scheduling. All the tasks were required to perform autonomously without human intervention. According to the requirement of the mission, the unmanned aerial vehicle system was designed and implemented with high degree of autonomy and reliability, whose hardware was developed on a quadrotor platform by integrating various system components, including sensors, computers, power, and grasp mechanism. Software algorithms were exploited, and executable computer codes were implemented and integrated with the developed unmanned aerial vehicle hardware system. Integration of the two provided onboard intelligence to complete the mission. This article addresses the major components and development process of the unmanned aerial vehicle system and describes its applications to the competition mission.

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IN-HOUSE DEVELOPMENT OF UNMANNED AERIAL VEHICLE AUTOMATIC ANTENNA TRACKING SYSTEM

Jurnal Teknologi ◽

10.11113/jt.v76.5502 ◽

2015 ◽

Vol 76 (4) ◽

Author(s):

Md Fahmi Abd Samad ◽

Mohd Izhar Harun

Keyword(s):

Unmanned Aerial Vehicle ◽

System Integration ◽

Tracking System ◽

Low Cost ◽

Radio Communication ◽

Data Link ◽

Testing Stage ◽

Software Development System ◽

Cost Development ◽

Aerial Vehicle

The control of an unmanned aerial vehicle (UAV) requires a two-way radio communication between the UAV and ground control station (GCS). This radio communication is achieved through the use of antennas as medium of recital and transmission in the data-link system. This paper presents the project of an in-house low-cost development of a UAV automatic antenna tracking system. The presentation includes the control system design, hardware and software development, system integration and testing stage. The development ended with a successfully operational automatic antenna tracking system in a benchtop testing and validation.

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