A New Quadrotor Manipulation System: Modeling and Point-to-point Task Space Control

被引:14
作者
Khalifa, Ahmed [1 ]
Fanni, Mohamed [1 ]
机构
[1] Egypt Japan Univ Sci & Technol, Dept Mechatron & Robot Engn, Alexandria, Egypt
关键词
Aerial manipulation; dynamics; feedback linearization; fuzzy logic control; fuzzy model reference learning control; Kinematics; 2-link manipulator; ADAPTIVE-CONTROL; FUZZY;
D O I
10.1007/s12555-015-0467-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article introduces a novel quadrotor manipulation system that consists of 2-link manipulator with unique topology attached to the bottom of a quadrotor. This new system presents a solution for the limitations found in the current quadrotor manipulation system. Unlike the current system, the proposed system enables the end effector to achieve an arbitrary position and orientation with minimum possible number of actuators/links. System kinematics and dynamics are derived. A new closed form inverse kinematics algorithm is presented such that a task space motion controller can be implemented. To study the feasibility of the proposed system, a quadrotor with high enough payload, to add the 2-link manipulator, is designed and constructed. The system controller is designed based on three control techniques: Feedback Linearization based PID (FL-PID), Direct Fuzzy Logic Control (DFLC), and Fuzzy Model Reference Learning Control (FMRLC). Simulation framework is implemented in MATLAB/SIMULINK based on real system parameters to emulate a realistic setup. These controllers are tested under the effect of picking/placing a payload and changing the operating region. Results enlighten the system feasibility, the superior performance of the FMRLC, and the efficiency of the proposed inverse kinematics algorithm.
引用
收藏
页码:1434 / 1446
页数:13
相关论文
共 26 条
  • [1] [Anonymous], 1998, Fuzzy control
  • [2] [Anonymous], 1999, Computing Euler angles from a rotation matrix
  • [3] Globally stable direct fuzzy model reference adaptive control
    Blazic, S
    Skrjanc, I
    Matko, D
    [J]. FUZZY SETS AND SYSTEMS, 2003, 139 (01) : 3 - 33
  • [4] A Simple Fuzzy-approximation-based Adaptive Control of Uncertain Unmanned Helicopters
    Choi, Yun Ho
    Yoo, Sung Jin
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2016, 14 (01) : 340 - 349
  • [5] Elsamanty M, 2013, IEEE ASME INT C ADV, P1343, DOI 10.1109/AIM.2013.6584281
  • [6] Design and Implementation of a Hybrid Fuzzy Logic Controller for a Quadrotor VTOL Vehicle
    Erginer, Bora
    Altug, Erdinc
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2012, 10 (01) : 61 - 70
  • [7] Escareno J., 2013, 2013 European Control Conference (ECC), P3258
  • [8] Geometric Control of a Quadrotor UAV Transporting a Payload Connected via Flexible Cable
    Goodarzi, Farhad A.
    Lee, Daewon
    Lee, Taeyoung
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2015, 13 (06) : 1486 - 1498
  • [9] Gupte Shweta., 2012, Southeastcon, 2012 Proceedings of IEEE, P1, DOI [DOI 10.1109/SCES.2012.6199121, DOI 10.1109/SECON.2012.6196930]
  • [10] Adaptive Intelligent Controller Design for a New Quadrotor Manipulation System
    Khalifa, Ahmed
    Fanni, Mohamed
    Ramadan, Ahmed
    Abo-Ismail, Ahmed
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013), 2013, : 1666 - 1671