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      KCI등재 SCIE SCOPUS

      On the Voltage-Based Control of Robot Manipulators

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      https://www.riss.kr/link?id=A76603750

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      다국어 초록 (Multilingual Abstract)

      This paper presents a novel approach for controlling electrically driven robot manipulators based on voltage control. The voltage-based control is preferred comparing to torque-based control. This approach is robust in the presence of manipulator uncertainties since it is free of the manipulator model. The control law is very simple, fast response, efficient, robust, and can be used for high-speed tracking purposes. The feedback linearization is applied on the electrical equations of the dc motors to cancel the current terms which transfer all manipulator dynamics to the electrical circuit of motor. The control system is simulated for position control of the PUMA 560 robot driven by permanent magnet de motors.
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      This paper presents a novel approach for controlling electrically driven robot manipulators based on voltage control. The voltage-based control is preferred comparing to torque-based control. This approach is robust in the presence of manipulator unce...

      This paper presents a novel approach for controlling electrically driven robot manipulators based on voltage control. The voltage-based control is preferred comparing to torque-based control. This approach is robust in the presence of manipulator uncertainties since it is free of the manipulator model. The control law is very simple, fast response, efficient, robust, and can be used for high-speed tracking purposes. The feedback linearization is applied on the electrical equations of the dc motors to cancel the current terms which transfer all manipulator dynamics to the electrical circuit of motor. The control system is simulated for position control of the PUMA 560 robot driven by permanent magnet de motors.

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      목차 (Table of Contents)

      • Abstract
      • 1. INTRODUCTION
      • 2. FEEDBACK LINEARIZATION
      • 3. THE CONTROL SYSTEM
      • 4. REJECTING DISURBANCES
      • Abstract
      • 1. INTRODUCTION
      • 2. FEEDBACK LINEARIZATION
      • 3. THE CONTROL SYSTEM
      • 4. REJECTING DISURBANCES
      • 5. SIMULATION RESULTS
      • 6. CONCLUSIONS
      • REFERENCES
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      참고문헌 (Reference)

      1 Z. Schiller, "Time-energy optimal control of articulated systems with geometric path con-straints" 118 : 139-143, 1996

      2 Y. Li, "Robust neural networks compensating motion control of reconfigurable manipulator" 388-391, 2006

      3 P. Chiacchio, "Robust design of independent joint controllers with experimentation on a high­speed parallel robot" 40 : 393-403, 1993

      4 C. S. Chiu, "Robust adaptive motion/force tracking control design for uncertain constrained robot manipulators" 40 : 2111-2119, 2004

      5 P. I. Corke, "Robotics toolbox for MATLAB" 3 (3): 24-32, 1996

      6 M. W. Spong, "Robot Dynamics and Control" John Wiley and Sons, Inc 1989

      7 L. L. Chang, "Rigid model-based fuzzy control of flexible-joint manipula-tors" 13 : 107-126, 1995

      8 R. Kelly, "Point-to-point robot control under actuator con-straints" 5 (5): 1555-1562, 1997

      9 T. J. Tarn, "Performance comparison of four manipulator servo schemes" 13 (13): 22-29, 1993

      10 M. W. Spong, "On the robust control of robot manipulators" 37 (37): 1782-1786, 1992

      1 Z. Schiller, "Time-energy optimal control of articulated systems with geometric path con-straints" 118 : 139-143, 1996

      2 Y. Li, "Robust neural networks compensating motion control of reconfigurable manipulator" 388-391, 2006

      3 P. Chiacchio, "Robust design of independent joint controllers with experimentation on a high­speed parallel robot" 40 : 393-403, 1993

      4 C. S. Chiu, "Robust adaptive motion/force tracking control design for uncertain constrained robot manipulators" 40 : 2111-2119, 2004

      5 P. I. Corke, "Robotics toolbox for MATLAB" 3 (3): 24-32, 1996

      6 M. W. Spong, "Robot Dynamics and Control" John Wiley and Sons, Inc 1989

      7 L. L. Chang, "Rigid model-based fuzzy control of flexible-joint manipula-tors" 13 : 107-126, 1995

      8 R. Kelly, "Point-to-point robot control under actuator con-straints" 5 (5): 1555-1562, 1997

      9 T. J. Tarn, "Performance comparison of four manipulator servo schemes" 13 (13): 22-29, 1993

      10 M. W. Spong, "On the robust control of robot manipulators" 37 (37): 1782-1786, 1992

      11 S. Torres, "On improving the performance in robust controllers for robot manipulators with parametric disturbances" 15 : 557-566, 2007

      12 Y. Tang, "Neural network control of flexible-link manipulators using sliding mode" 70 : 288-295, 2006

      13 M. W. Spong, "Motion Control of Robot Manipulators, in Handbook of Control" CRC Press 1339-1350, 1996

      14 J. V. Miro, "Modelling an industrial manipulator a case study" 9 : 293-319, 2002

      15 C. An, "Model Based Control of a Robot Manipulator" Cambridge 1988

      16 J. J. Craig, "Introduction to Robotics, Mechanics and Control" Addison-Wesley 1989

      17 L. C. Lin, "Integrated PID-type learning and fuzzy control for flexible-joint manipulators" 18 (18): 47-66, 1997

      18 F. Reyes, "Experimental evaluation of model-based controllers on a direct-drive robot arm" 11 : 267-282, 2001

      19 G. F. Wyeth, "Distributed digital control of a robot arm" 217-222, 2000

      20 M. B. JR Leahy, "Compensa-tion of industrial manipulator dynamics" 8 (8): 73-84, 1989

      21 L. Tian, "Adaptive neuro-fuzzy control of a flexible manipulator" 15 : 1305-1320, 2005

      22 S. Purwar, "Adaptive control of robot manipulators using fuzzy logic systems under actuator constraints" 152 : 651-664, 2005

      23 C. Liu, "Adaptive Jacobian tracking control of rigid-link electrically driven robots based on visual task-space information" 42 : 1491-1501, 2006

      24 P. I. Corke, "A search for consensus among model parameters reported for the PUMA 560 robot" 1608-1613, 1994

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      영문명 : The Institute Of Control, Automation, And Systems Engineers, Korea -> Institute of Control, Robotics and Systems
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