2018
DOI: 10.1007/978-3-319-95930-6_9
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Development of a New Hybrid Drone and Software-in-the-Loop Simulation Using PX4 Code

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Cited by 8 publications
(7 citation statements)
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“…Here are some key features of QGroundControl: PX4 is an open-source autopilot designed to control UAVs and other autonomous systems. It can be used on various types of UAVs, including quadcopters, airplanes, helicopters, and others [251][252][253].…”
Section: Qground Control + Px4mentioning
confidence: 99%
“…Here are some key features of QGroundControl: PX4 is an open-source autopilot designed to control UAVs and other autonomous systems. It can be used on various types of UAVs, including quadcopters, airplanes, helicopters, and others [251][252][253].…”
Section: Qground Control + Px4mentioning
confidence: 99%
“…They brought useful values to the UAV development community. For testing software, some researchers used Matlab Simulink to present their UAV model as fixed-wing [8], quadrotor [9], and hybrid [10,11] with the control algorithms as PID [12], Fuzzy-PID [13], Neural network [14], and sliding mode control [15]. Recently, software in the loop simulation (SILS) is developed to present more details in simulation [16].…”
Section: Introductionmentioning
confidence: 99%
“…In [22,26], the development of a MATLAB toolboxes for implementing and modifying the PX4 autopilot firmware, which is then used to build the final firmware on target autopilot boards, such as Pixhawk 1, is presented. Other references, such as [27,28], directly modify the PX4 autopilot code for their specific usages. Reference [27] changes the control architecture of PX4, replacing the existing control logic with a retrospective cost adaptive control (RCAC), and evaluates its behavior under conditions of uncertainty in the moments of inertia of a quadrotor.…”
mentioning
confidence: 99%
“…Reference [27] changes the control architecture of PX4, replacing the existing control logic with a retrospective cost adaptive control (RCAC), and evaluates its behavior under conditions of uncertainty in the moments of inertia of a quadrotor. Similarly, reference [28] develops a new hybrid aerial robot configuration and develops the necessary control and guidance logic for the PX4 autopilot. Finally, software-in-the-loop (SITL) testing is performed by modeling the aircraft in the Gazebo environment.…”
mentioning
confidence: 99%