Smart-Structures Technology for Parallel Robots

被引:6
|
作者
Algermissen, Stephan [1 ]
Keimer, Ralf [1 ]
Rose, Michael [1 ]
Straubel, Marco [1 ]
Sinapius, Michael [1 ]
Monner, Hans Peter [1 ]
机构
[1] German Aerosp Ctr DLR, Inst Composite Struct & Adapt Syst, Braunschweig, Germany
关键词
Adaptive systems; Adaptronic; Parallel robot; Robust control; Smart-structures; Active rods; Piezo composite; Robot dynamic; DEPENDENT LINKAGE VIBRATION;
D O I
10.1007/s10846-010-9522-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Industrial robots play an important role in automation technology. A further increase of productivity is desired, especially in the field of handling and assembly, the domain of industrial robots. Parallel robots demonstrated their potential in applications with needs for high-dynamic trajectories in the recent years. Within the scope of the Collaborative Research Center (SFB 562)-'Robotic Systems for Handling and Assembly' the German Aerospace Center (DLR) and the Technical University of Braunschweig investigate smart-structures technology for parallel robots. In this paper the results of the main topics new active components, Finite-Element based elastic position dependent modeling and vibration control are summarized. The latest parallel robot called is equipped with new active rods. The design as well as the dimensioning of the rod with surface mounted piezo patch actuators is described. For trajectory based robot control, rigid body models are required. In parallel robots with vibration reduction a coupled approach is necessary in which elastic and rigid body equations are combined. The derivation of the equations for parallel robot is presented. Finally, the implemented vibration control is explained. In a position-dependent approach several robust controllers are switched to gain optimal control performance. A stability proof for the switching process is derived.
引用
收藏
页码:547 / 574
页数:28
相关论文
共 50 条
  • [41] Materials that make robots smart
    Hughes, Dana
    Heckman, Christoffer
    Correll, Nikolaus
    [J]. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2019, 38 (12-13): : 1338 - 1351
  • [42] An Ethical Framework for Smart Robots
    Westerlund, Mika
    [J]. TECHNOLOGY INNOVATION MANAGEMENT REVIEW, 2020, 10 (01): : 35 - 44
  • [43] ROBOTS GET SMART IN JAPAN
    COHEN, CL
    [J]. ELECTRONICSWEEK, 1985, 58 (04): : 15 - 16
  • [44] SMART ROBOTS FIND A HOME
    IVERSEN, WR
    [J]. ELECTRONICS, 1983, 56 (02): : 79 - 81
  • [45] ROBOTS - NOT YET SMART ENOUGH
    NAGEL, RN
    [J]. IEEE SPECTRUM, 1983, 20 (05) : 78 - 83
  • [46] Benchmarking robots in smart cities
    Studley, Matthew
    Presutti, Valentina
    Nardi, Daniele
    Carter, Sarah
    [J]. XRDS: Crossroads, 2022, 28 (03): : 20 - 25
  • [47] Smart sensors and small robots
    Siegel, M
    [J]. IMTC/2001: PROCEEDINGS OF THE 18TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-3: REDISCOVERING MEASUREMENT IN THE AGE OF INFORMATICS, 2001, : 303 - 308
  • [48] Materials That Make Robots Smart
    Correll, Nikolaus
    Heckman, Christoffer
    [J]. ROBOTICS RESEARCH, 2020, 10 : 41 - 48
  • [49] Are parallel robots more accurate than serial robots?
    Briot, Sebastien
    Bonev, Ilian A.
    [J]. TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING, 2007, 31 (04) : 445 - 455
  • [50] Back-stepping control of delta parallel robots with smart dynamic model selection for construction applications
    Azad, Faraz Abed
    Rad, Saeed Ansari
    Arashpour, Mehrdad
    [J]. AUTOMATION IN CONSTRUCTION, 2022, 137