Transactions of the Korean Society of Mechanical Engineers A (대한기계학회논문집A)

The Korean Society of Mechanical Engineers (대한기계학회)
권호 표지
DOI QR코드

DOI QR Code

Neural Network Based PID Control for Pneumatic NC Axes

공압 NC축의 신경회로망 결합형 PID 제어

  • 박래서 (홍익대학교 대학원 기계공학과) ;
  • 조승호 (홍익대학교 기계 시스템디자인공학과)
  • Published : 2006.02.01
Download PDF
⟨ Previous Next ⟩

Abstract

This paper describes a Neural Network based PID control scheme for pneumatic NC axes. Pneumatic systems have inherent nonlinearities such as compressibility of air and nonlinear frictions present in cylinder. The conventional PID controller is limited in some applications where the affection of nonlinear factor is dominant. A self-excited oscillation method is applied to derive the dynamic design parameters of linear model. The gains of PID controller are determined using a self tuning scheme. The experiments of a trajectory tracking control using the proposed control scheme are performed and a significant reduction in tracking error is achieved by comparing with those of a PID control.

Keywords

References

  1. Shih, M. C. and Pai, K. R., 2002, 'Development of the Pneumatic Servo Control System,' Fifth JFPS International Symposium on Fluid Power, Nara, Vol. 1, pp. 11-22
  2. Drakunov, S., Hanchin, G. D., Su, W. C. and Ozguner, U., 1997, 'Nonlinear Control of a Rodless Pneumatic Servoactuator, or Sliding Modes Versus Coulomb Friction,' Automatica, Vol. 33, No.7, pp. 1401-1408 https://doi.org/10.1016/S0005-1098(97)00015-0
  3. Tanaka, K., Sakamoto, M., Sakou, T., Kurigami, M. and Shimizu, A., 1997, 'Improved Design Scheme of MRAC for Pneumatic Servo System with Additive External Forces,' Trans. of JSME, Vol. 63, No. 613, pp. 144-150 https://doi.org/10.1299/kikaic.63.3110
  4. Konami, S., Nishiumi, T. and Hata, K., 1996, 'Identification of Linearized Electro-Hydraulic Servovalve Dynamics by Analyzing Self-Excited Oscillations,' Journal of the Japan Hydraulics and Pneumatics Society, Vol. 27, No.4, pp. 143-149
  5. Gawthrop., 1996, 'Self-tuning PID Control Structures,' lEE Colloquium on Getting the Best Our of PlD in Machine Control, Digest No. 1996/287, pp. 4/1-4/4
  6. Matsukuma, T., Fujiwara, A., Namba, M. and Ishida, Y., 1997 'Non-linear PID Controller Using Neural Networks,' International Conference on Neural Networks, Vol. 2, pp. 811-814 https://doi.org/10.1109/ICNN.1997.616127