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A Study on the Control Scheme of Vibration Isolator with Electrical Motor

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In this study, a reliable control scheme with PID combined controller will be considered. The combined controller in this study is PID algorithm with parameters tuned by using ILC (iterative learning control) approach. The controller was applied to the vibration isolator using an induction motor which works as an actuator. This isolator is developed to eliminate the influence of vibration from rotating machineries on the small ship. The NI cRIO real time controller with FPGA is loaded to get or generate control signals. Crank mechanism which converts rotating energy into translational force is adopted and the relation between control force and torque generated from actuator is also analyzed. A Labview program is composed for controlling practice. Experimental results will be described to show the effectiveness of the proposed control schemes.

Abstract

In this study, a reliable control scheme with PID combined controller will be considered. The combined controller in this study is PID algorithm with parameters tuned by using ILC (iterative learning control) approach. The controller was applied to the vibration isolator using an induction motor which works as an actuator. This isolator is developed to eliminate the influence of vibration from rotating machineries on the small ship. The NI cRIO real time controller with FPGA is loaded to get or generate control signals. Crank mechanism which converts rotating energy into translational force is adopted and the relation between control force and torque generated from actuator is also analyzed. A Labview program is composed for controlling practice. Experimental results will be described to show the effectiveness of the proposed control schemes.

참고문헌 (9)

  1. M. A. Johnson, "PID Controller Design" (2003), Spring-Verlag London
  2. A. O’Dwyer, "Handbook of PIand PID Controller Tuning Rules" (2003), Imperial College Press
  3. 이재형, "Iterative Learning Control: Analysis, Design, Integration and Applications" (1998), Kluwer Academic Publishers
  4. K.K. Tan, "Iterative learning approach toward closed-loop automatic tuning of PID controllers", Journal of Ind. Eng. Chem. Res, 45(12), pp.4093~4100 (2006)
  5. S. George, "PID controller tuning using mathematical programming", Journal of Chemical Engineering and Processing, 44(1), pp.41~49 (2005)
  6. T. Ashish, "Modern control design with Matlab and simulink" (2002), John Wiley
  7. J. C. Shen, "New tuning method for PID controller", Journal of ISA Transactions, 41(4), pp.473~484 (2002)
  8. V. Duarte, "Tuning of fractional PID controllers with Ziegler–Nichols-type rules", Journal of Signal Processing, 86(10), pp.2771~2784 (2006)
  9. K.J. Astrom, "Adaptive Control, 2", pp.263~338 (1995), Addison-Wesley

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