• DocumentCode
    1792156
  • Title

    Gain tuning technique of a 6-axis articulated manipulator using notch filter-based LabVIEW® programming

  • Author

    Seong Bin Kim ; Won Jee Chung ; Jun Hyeong Bae

  • Author_Institution
    Sch. of Mech. Eng., Changwon Naional Univ., Changwon, South Korea
  • fYear
    2014
  • fDate
    3-6 Aug. 2014
  • Firstpage
    1288
  • Lastpage
    1293
  • Abstract
    Unlike Cartesian Robot and SCARA (Selective Compliance Assembly Robot Arm) which have wide application in assembling electronic parts, the dynamic performance of a 6-axis articulated industrial robot is greatly changed according to the position and orientation of the robot. Usually PID (Proportional-Integral-Derivative) gain tuning of the robot´s servo controllers should be tuned considering the dynamic characteristics of robot mechanism. But the gain tuning cannot inherently prevent “residual vibration” caused by the (inevitable) flexibility (or elasticity) of robot link. In this paper, for accurate gain tuning of RS2 with less noise, a program routine of DSA (Dynamic Signal Analyzer) for frequency response method will be programmed using LabVIEW®. Then robot transfer functions can be obtained experimentally using frequency response method with DSA program. Data resulted from the robot transfer functions are transformed into Bode plots, based on which an optimal gain tuning will be executed. Of course, gain tuning can enhance the response quality of output signal for a given input signal during the real-time control of robot. But the gain tuning cannot inherently prevent “residual vibration”. To cope with this problem of gain tuning, we will incorporate notch filter tuning into our proposed experimental gain tuning using LabVIEW®. This will be confirmed by comparing with the velocity response of gain tuning with without notch filter tuning. Basically the research performed in this paper is a preliminary step for the gain scheduling in which the parameters related to notch filter tuning should be changed for various robot motion.
  • Keywords
    frequency response; manipulator dynamics; motion control; notch filters; optimal control; position control; robot programming; robotic assembly; three-term control; transfer functions; velocity control; vibration control; virtual instrumentation; 6-axis articulated industrial robot; 6-axis articulated manipulator; Bode plots; Cartesian robot; DSA program; PID gain tuning; RS2; SCARA; dynamic characteristics; dynamic performance; dynamic signal analyzer; electronic parts assembling; frequency response method; gain scheduling; input signal; notch filter tuning; notch filter-based LabVIEW programming; optimal gain tuning; program routine; proportional-integral-derivative gain tuning; real-time control; residual vibration; robot link elasticity; robot link flexibility; robot mechanism; robot motion; robot orientation; robot position; robot servo controllers; robot transfer functions; selective compliance assembly robot arm; velocity response; Robot kinematics; Service robots; Servomotors; Transfer functions; Tuning; Vibrations; 6-axis articulated manipulator; Gain Scheduling List key index terms here. No mare than 5; Gain Tuning; Notch filter-based LabVIEW®; Residual vibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4799-3978-7
  • Type

    conf

  • DOI
    10.1109/ICMA.2014.6885885
  • Filename
    6885885