ARSS: A Novel Aerial Robot Performs Tree Pruning Tasks

In this article, we present a novel aerial robot with a suspended saw (ARSS) for pruning trees that are close to electric power lines. The Robot’s movement process includes free flight and aerial pruning. We first established a dynamic model and designed a controller based on the Active Disturbance Rejection Control (ADRC) on the model. Aiming at the problem of saw swing and residual oscillation during the free flight movement, we adopt the linear state feedback to design a swing angle controller. Finally, we use Matlab/Simulink and CoppeliaSim for simulation, and the simulation results verify the effectiveness and feasibility of the controller.

[1]  Vijay Kumar,et al.  Trajectory generation and control of a quadrotor with a cable-suspended load - A differentially-flat hybrid system , 2013, 2013 IEEE International Conference on Robotics and Automation.

[2]  Shinichi Hirai,et al.  Aerial pruning mechanism, initial real environment test , 2017, 2017 IEEE International Conference on Real-time Computing and Robotics (RCAR).

[3]  Xiaoxia Yang,et al.  Capabilities of extended state observer for estimating uncertainties , 2009, 2009 American Control Conference.

[4]  Xiangrong Xu,et al.  Attitude controller design for the aerial trees-pruning robot based on nonsingular fast terminal sliding mode , 2019 .

[5]  Bao-Zhu Guo,et al.  On the convergence of an extended state observer for nonlinear systems with uncertainty , 2011, Syst. Control. Lett..

[6]  Peter I. Corke,et al.  Multirotor Aerial Vehicles: Modeling, Estimation, and Control of Quadrotor , 2012, IEEE Robotics & Automation Magazine.

[7]  Zhiqiang Gao,et al.  On Validation of Extended State Observer Through Analysis and Experimentation , 2012 .

[8]  Jingqing Han,et al.  From PID to Active Disturbance Rejection Control , 2009, IEEE Trans. Ind. Electron..

[9]  D. Yallappa,et al.  Development and evaluation of drone mounted sprayer for pesticide applications to crops , 2017, 2017 IEEE Global Humanitarian Technology Conference (GHTC).

[10]  Jiao Shi,et al.  Design and Simulation of the Longitudinal Autopilot of UAV Based on Self-Adaptive Fuzzy PID Control , 2009, 2009 International Conference on Computational Intelligence and Security.

[11]  Tor Arne Johansen,et al.  Suspended load motion control using multicopters , 2014, 22nd Mediterranean Conference on Control and Automation.

[12]  Jinde Cao,et al.  Applications of Laplacian spectra for n-prism networks , 2016, Neurocomputing.

[13]  Sen Yang,et al.  Energy-Based Nonlinear Adaptive Control Design for the Quadrotor UAV System With a Suspended Payload , 2020, IEEE Transactions on Industrial Electronics.

[14]  Shinichi Hirai,et al.  Kinematic Analysis of a Novel Skew-gripper for Aerial Pruning Tasks , 2017, ICMRE 2017.

[15]  Dongbing Gu,et al.  Quadrotor transporting cable-suspended load using iterative Linear Quadratic regulator (iLQR) optimal control , 2016, 2016 8th Computer Science and Electronic Engineering (CEEC).

[16]  Lydia Tapia,et al.  Learning swing-free trajectories for UAVs with a suspended load , 2013, 2013 IEEE International Conference on Robotics and Automation.

[17]  Shinichi Hirai,et al.  Pruning tree-branches close to electrical power lines using a skew-gripper and a multirotor helicopter , 2017, 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM).

[18]  Wu Le.  A Learning Algorithm for Parameters of Automatic Disturbances Rejection Controller , 2014 .

[19]  Rafael Fierro,et al.  Trajectory generation for swing-free maneuvers of a quadrotor with suspended payload: A dynamic programming approach , 2012, 2012 IEEE International Conference on Robotics and Automation.

[20]  Ning Sun,et al.  A Novel Energy-Coupling-Based Hierarchical Control Approach for Unmanned Quadrotor Transportation Systems , 2019, IEEE/ASME Transactions on Mechatronics.

[21]  Shaohui Wang,et al.  Further results on computation of topological indices of certain networks , 2017 .