System Identification and Adaptive Tracking Control for a 3-DOF LCD Glass-handling Robot

Rong-Fong Fung, Sin-Syun You

Abstract


In this paper, a physical model of a 3 Degree-Of-Freedom (DOF) LCD glass-handling robot driven by three Permanent Magnet Synchronous Motors (PMSMs) is established. The completely mathematical model includes two parts: the electrical equations of the three PMSMs and mechanical equations of the system in three directions. In numerical simulations, MATLAB software was employed to solve the mathematical models, while Real-coded Genetic Algorithm (RGA) was used to identify the system parameters which include those not easily measured from experiments. Numerical simulations and experimental results were compared to show the identified parameters of the mechatronic system. In the adaptive control design, Lyapunov function was employed and the external loading and unknown disturbances were considered. Two different commands of angular-displacement curve of the trapezoidal and double S speed profiles were used as the tracking trajectories for comparison. It was concluded that the double S speed profile has smaller tracking errors than those of the trapezoidal speed profile.

Keywords


3-DOF LCD Glass-handling robot; double S speed profile; Lyapunov function; permanent magnet synchronous motors (PMSMs); Real-coded Genetic Algorithm (RGA)

References


  1. R. F. Fung, Y. S. Kung, and G. C. Wu, "Dynamic analysis and system identification of an LCD glass-handling robot driven by a PMSM," Applied Mathematical Modelling, vol. 34, no. 5, pp. 1360-1381, 2010.
    doi: 10.1016/j.apm.2009.08.020
  2. R. F. Fung, Y. L. Hsu, and M. S. Huang, "System identification of a dual-stage xy precision positioning table," Precision Engineering, vol. 33, no. 1, pp. 71-80, 2009.
    doi: 10.1016/j.precisioneng.2008.04.002
  3. R. F. Fung and W. C. Lin, "System identification of a novel 6-DOF precision positioning table," Sensors and Actuators A: Physical, vol. 150, no. 2, pp. 286-295, 2009.
    doi: 10.1016/j.sna.2009.01.007
  4. L. Tian and C. Collins, "An effective robot trajectory planning method using a genetic algorithm," Mechatronics, vol. 14, no. 5, pp. 455-470, 2004.
    doi: 10.1016/j.mechatronics.2003.10.001
  5. Y. L. Hsu, M. S. Huang, and F. Rong-Fong, "Adaptive tracking control of a toggle mechanism for the electric injection molding machines," in 29th Chinese Control Conference (CCC), Beiging, China, 2010, pp. 2212-2218.
  6. L. Biagiotti and C. Melchiorri, Trajectory planning for automatic machines and robots, 1st ed. Berlin Heidelberg: Springer-Verlag, 2008.
  7. Q. Hu, G. Ma, and L. Xie, "Robust and adaptive variable structure output feedback control of uncertain systems with input nonlinearity," Automatica, vol. 44, no. 2, pp. 552-559, 2008.
    doi: 10.1016/j.automatica.2007.06.024
  8. R. Shahnazi and M. R. Akbarzadeh-T, "PI adaptive fuzzy control with large and fast disturbance rejection for a class of uncertain nonlinear systems," IEEE Transactions on Fuzzy Systems, vol. 16, no. 1, pp. 187-197, 2008.
    doi: 10.1109/TFUZZ.2007.903320
  9. C. W. Chuang, M. S. Huang, K. Y. Chen, and R. F. Fung, "Adaptive vision-based control of a motor-toggle mechanism: Simulations and experiments," Journal of Sound and Vibration, vol. 312, no. 4-5, pp. 848-861, 2008.
    doi: 10.1016/j.jsv.2007.11.019
  10. F. J. Lin and Y. S. Lin, "A robust PM synchronous motor drive with adaptive uncertainty observer," IEEE Transactions on Energy Conversion, vol. 14, no. 4, pp. 989-995, 1999.
    doi: 10.1109/60.815018
  11. T. S. Lee, C. H. Lin, and F. J. Lin, "An adaptive H∞ controller design for permanent magnet synchronous motor drives," Control Engineering Practice, vol. 13, no. 4, pp. 425-439, 2005.
    doi: 10.1016/j.conengprac.2004.04.001
  12. R. F. Fung and W. C. Lin, "System identification and contour tracking of a plane-type 3-DOF precision positioning table," IEEE Transactions on Control Systems Technology, vol. 18, no. 1, pp. 22-34, 2010.
    doi: 10.1109/TCST.2008.2009528
  13. R. F. Fung, M. H. Weng, and Y. S. Kung, "FPGA-based adaptive backstepping fuzzy control for a micro-positioning Scott-Russell mechanism," Mechanical Systems and Signal Processing, vol. 23, no. 8, pp. 2671-2686, 2009.
    doi: 10.1016/j.ymssp.2009.01.005


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