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Coordinate-free Isoline Tracking in Unknown 2-D Scalar Fields

Fei Dong, Keyou You, Wang Jian

Year
2020
Citations
4

Abstract

The isoline tracking of this work is concerned with the control design for a sensing robot to track a given isoline of an unknown 2-D scalar filed. To this end, we propose a coordinate-free controller with a simple PI-like form using only the concentration feedback for a Dubins robot, which is particularly useful in GPS-denied environments. The key idea lies in the novel design of a sliding surface based error term in the standard PI controller. Interestingly, we also prove that the tracking error can be reduced by increasing the proportion gain, and be eliminated for circular fields with a non-zero integral gain. The effectiveness of our controller is validated via simulations by using a fixed-wing UAV on the real dataset of the concentration distribution of PM2.5 in an area of China.

Keywords

Control theory (sociology)Scalar (mathematics)Tracking (education)Tracking errorComputer scienceRobotController (irrigation)Global Positioning SystemCoordinate systemComputer vision

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