Two Stage Control Method Using a Disturbance Observer and a Kalman Filter

Authors: Hiromitsu Ogawa, Manato Ono, Naohiro Ban, Yoshihisa Ishida

Abstract:

This paper describes the two stage control using a disturbance observer and a Kalman filter. The system feedback uses the estimated state when it controls the speed. After the change-over point, its feedback uses the controlled plant output when it controls the position. To change the system continually, a change-over point has to be determined pertinently, and the controlled plant input has to be adjusted by the addition of the appropriate value. The proposed method has noise-reduction effect. It changes the system continually, even if the controlled plant identification has the error. Although the conventional method needs a speed sensor, the proposed method does not need it. The proposed method has a superior robustness compared with the conventional two stage control.

Keywords: Disturbance observer, kalman filter, optimal control, two stage control.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1060671

References:

[1] P. Rocco, "Stability of PID Control for industrial robot arms," IEEE Tran. Robotics and Automation, Vol. 12, No. 4, August, pp. 606-614, Aug., 1996.
[2] Z. Ying, Q. Gui-li, Y. Peng, K. De-qiang, "Fuzzy immune adaptive PID control for fermentation process," Second International Symposium on Intelligent Information Technology Application, IITA -08, pp. 678-682, Dec., 2008.
[3] J. J. Gude, E. Kahoraho, J. Extaniz, "Practical aspects of PID controllers: An industrial experience," IEEE Conf. on Emerging Technologies and Factory Automation, ETFA -06., pp. 870-878, Sept., 2006.
[4] K. K. Tan, H. L. Goh, "Development of a mobile spreadsheet-based PID Control simulation system," IEEE Trans. on Education, Vol. 49, pp. 199-207,May, 2006.
[5] Katsuhisa Endo, Yoshihisa Ishida, Yasuo Ogawa, "Digital servo system of pneumatic cylinder," ISMCR -90, Jun. pp. 20-22, 1990.
[6] H. Ogawa, M. Ono, Y. masukake, Y. Ishida, "The Two stage control based on an Optimal control," Proc. ICCAE -09, International Conference on Computer and Automation Engineering, Mar., pp. 12-15, 2009.