Quadrotor going through a window and landing: An image-based visual servo control approach. (July 2021)

• Record Type: Journal Article
• Authors: Tang, Zhiqi; Cunha, Rita; Cabecinhas, David; Hamel, Tarek; Silvestre, Carlos
• Is Part Of: Control engineering practice. Volume 112(2021)
• Publication Date: 2021-07
• Subjects: Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2021.104827
• Languages: English
• ISSNs: 0967-0661

Abstract

Abstract: This paper considers the problem of controlling a quadrotor to go through a window and land on a planar target, the landing pad, using an Image-Based Visual Servo (IBVS) controller that relies on sensing information from two on-board cameras and an IMU. The maneuver is divided into two stages: crossing the window and landing on the pad. For the first stage, a control law is proposed that guarantees that the vehicle will not collide with the wall containing the window and will go through the window with non-zero velocity along the direction orthogonal to the window, keeping at all times a safety distance with respect to the window edges. For the landing stage, the proposed control law ensures that the vehicle achieves a smooth touchdown, keeping at all time a positive height above the plane containing the landing pad. For control purposes, the centroid vectors provided by the combination of the spherical image measurements of a collection of landmarks (corners) for both the window and the landing pad are used as position measurement. The translational optical flow relative to the wall, window edges, and landing plane is used as velocity cue. To achieve the proposed objective, no direct measurements nor explicit estimate of position or velocity are required. Simulation and experimental results are provided to illustrate the performance of the presented controller. Highlights: Automatic landing of quadrotors in a cluttered environment using minimum onboard sensors suite. A new dynamic image visual servo control for vertical take-off and landing UAVs. Rigorous stability and robustness analyses. Experimental validation of the control scheme in a real scenario.