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Hybrid Control of Position/Tension for a Stringing Troy Wire

가설 트롤리선의 위치 / 장력 혼합제어

  • 홍정표 (동의 과학대학 전기공학과)
  • Published : 2009.09.30

Abstract

As a stringing troy wire is installed by manual operation, it is necessary to scheme the automatic system for stringing troy wire. To accomplish a task of this kind, in this paper an approach to designing controllers for the hybrid Position/Tension control of a stringing troy wire is presented. Position control system is designed based on equation of dc motor and motion equation of robot, it is controlled by feedback with a detected speed dc motor. Tension control system is designed based on equation of ac servomotor for generating torque and dynamic equation of a troy wire, it is controled by feedback with a detected tension. The control parameters is determined by simulation in independence operation of each system. To suppress a mutual interference that the disturbance occur in operating of two task at same time. Dynamic hybrid control is proposed by feed forward compensator with a disturbance accelerator and a step torque at start. The operation of proposed system is simulated and experimented, results is verified the utilities.

Keywords

References

  1. Di Xiao, Bijoy K. Ghosh, Ning Xi, and T. J. Tarn, "Sensor-based hybrid position/force control of a robot manipulator in an uncalibrated environment." IEEE Transactions on Control Systems Technology, Vol. 8, No. 4, pp. 635-645, July 2000 https://doi.org/10.1109/87.852909
  2. Luigi Villani, Ciro Natale, Bruno Siciliano and Carlos Canudas de Wit, "An experimental study of adaptive force/position control algorithms for an industrial robot," IEEE Transactions on Control Systems Technology, Vol. 8, No. 5, pp. 777-786, September 2000 https://doi.org/10.1109/87.865851
  3. Hakan Koc, Dominique Knittel, Michel de Mathelin, and Gabriel Abba, "Modeling and robust control of winding systems for elastic webs," IEEE Transactions on Control Systems Technology, Vol. 10, No. 2, pp. 197-208, March 2002 https://doi.org/10.1109/87.987065
  4. Randolph Cabell, Dan Palumbo, and Jeffrey Vipperman "A principal component feedforward algorithm for active noise control: Flight test results," IEEE Transactions on Control Systems Technology, Vol. 9, No. 1, pp. 76-83, January 2001 https://doi.org/10.1109/87.896748
  5. Mehrzad Namvar and Farhad Aghili, "Adaptive force-motion control of coordinated robots interacting with geometrically unknown environments," IEEE Transactions on Robotics, Vol. 21. No. 4, pp. 678-694, August 2007 https://doi.org/10.1109/TRO.2004.842346