A Tilting-Rotor Unmanned Aerial Vehicle for Enhanced Aerial Locomotion and Manipulation Capabilities: Design, Control, and Applications

被引:37
作者
Ding, Caiwu [1 ]
Lu, Lu [1 ]
机构
[1] New Jersey Inst Technol, Dept Mech & Ind Engn, Newark, NJ 07102 USA
关键词
Rotors; Force; Servomotors; Uncertainty; Unmanned aerial vehicles; Optimization; Mechatronics; Aerial manipulation; dual-level adaptive robust control (ARC); locomotion; power efficiency; thrust force optimization; tilting rotor; unmanned aerial vehicle (UAV) design; TRAJECTORY GENERATION; ROBUST;
D O I
10.1109/TMECH.2020.3036346
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, a novel multirotor unmanned aerial vehicle (UAV) is proposed for enhanced locomotion and manipulation in unstructured environments. The vehicle has a tilting-rotor architecture. Specifically, two pairs of rotors are mounted on two independently controlled tilting arms placed at two sides of the vehicle, forming an "H" configuration. Such a structure endows the vehicle with more degrees of freedom, improving the maneuverability without sacrificing energy efficiency at the cost of only two additional servos compared to traditional quadcopters. Based on this architecture, a dual-level adaptive robust control is developed to cope with inertial parametric uncertainties and uncertain nonlinearities for accurate motion tracking. To resolve the redundancy in actuation, a thrust force optimization problem minimizing power consumption while achieving the desired body force wrench is formulated and solved precisely and efficiently. With the novel design and control, the proposed aerial vehicle is capable of achieving superior maneuverability, better stability and motion accuracy in the presence of uncertainties, as well as improved power efficiency compared to traditional UAVs when performing dexterous aerial locomotion and manipulation. To demonstrate the advantage of the proposed new UAV design and control in real applications, we conduct four challenging experiments on aerial locomotion and manipulation: circular trajectory tracking, passing through a narrow tunnel, picking up an object from a cluttered shelf, and aerial hole drilling. Experimental results validate the applicability of the proposed innovation.
引用
收藏
页码:2237 / 2248
页数:12
相关论文
共 35 条
[1]  
Abdul Ghaffar A. F, 2016, P AIAA GUID NAV CONT
[2]  
AIMDROIX L, 2017, AIMDROIXXRAY TILTROT
[3]  
Anderson R, 2019, THESIS U OKLAHOMA SC
[4]   Computationally Efficient Trajectory Generation for Fully Actuated Multirotor Vehicles [J].
Brescianini, Dario ;
D'Andrea, Raffaello .
IEEE TRANSACTIONS ON ROBOTICS, 2018, 34 (03) :555-571
[5]   Performance Analysis of High-frequency Geoacoustic Inversion using a Vector Sensor Array [J].
Chen, Jun ;
Zheng, Lijun ;
Jiang, Biao .
2014 IEEE SYMPOSIUM ON COMPUTER APPLICATIONS AND COMMUNICATIONS (SCAC), 2014, :1-4
[6]  
Ding C., 2018, ENERGY EFFICIENT ADA, DOI [10.1115/DSCC2018-9133, DOI 10.1115/DSCC2018-9133]
[7]   Mechanics, control and internal dynamics of quadrotor tool operation [J].
Hai-Nguyen Nguyen ;
Ha, ChangSu ;
Lee, Dongjun .
AUTOMATICA, 2015, 61 :289-301
[8]  
Hoffmann G, 2007, AIAA GUID NAV CONTR, P6461
[9]   Time-Optima Trajectory Generation for Landing a Quad o or Onto a Moving Platform [J].
Hu, Botao ;
Mishra, Sandipan .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2019, 24 (02) :585-596
[10]   UAV based soil salinity assessment of cropland [J].
Ivushkin, Konstantin ;
Bartholomeus, Harm ;
Bregt, Arnold K. ;
Pulatov, Alim ;
Franceschini, Marston H. D. ;
Kramer, Henk ;
van Loo, Eibertus N. ;
Roman, Viviana Jaramillo ;
Finkers, Richard .
GEODERMA, 2019, 338 (502-512) :502-512