首页|Study Findings on Robotics Discussed by a Researcher at Bialystok University of Technology (Artificial Potential Field Based Trajectory Tracking for Quadcopter UAV Moving Targets)
Study Findings on Robotics Discussed by a Researcher at Bialystok University of Technology (Artificial Potential Field Based Trajectory Tracking for Quadcopter UAV Moving Targets)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on robotics is the subject of a new report. According to news originating from Bialystok, Poland, by NewsRx correspondents, research stated, “The trajectory or moving-target tracking feature is desirable, because it can be used in various applications where the usefulness of UAVs is already proven.” Financial supporters for this research include Department of Mechanical Engineering. The news reporters obtained a quote from the research from Bialystok University of Technology: “Track- ing moving targets can also be applied in scenarios of cooperation between mobile ground-based and flying robots, where mobile ground-based robots could play the role of mobile landing pads. This article presents a novel proposition of an approach to position-tracking problems utilizing artificial potential fields (APF) for quadcopter UAVs, which, in contrast to well-known APF-based path planning methods, is a dynamic problem and must be carried out online while keeping the tracking error as low as possible. Also, a new flight control is proposed, which uses roll, pitch, and yaw angle control based on the velocity vector. This method not only allows the UAV to track a point where the potential function reaches its minimum but also enables the alignment of the course and velocity to the direction and speed given by the velocity vector from the APF. Simulation results present the possibilities of applying the APF method to holonomic UAVs such as quadcopters and show that such UAVs controlled on the basis of an APF behave as non-holonomic UAVs during 90° turns.”
Bialystok University of TechnologyBialystokPolandEuropeEmerging TechnologiesMachine LearningNano-robotRobotics
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