ONLINE SYSTEM IDENTIFICATION OF HYDRAULIC SERVO ACTUATORS BY THE SELF-EXCITED OSCILLATION METHOD (APPLICATION TO ANGULAR VELOCITY CONTROL SYSTEM)
Keywords:
hydraulic servo actuator system, system identification, limit cycle, second order transfer functionAbstract
It has been well known that hydraulic servo actuators can often be approximated with a standard second order transfer function when the controller is designed for these systems. Earlier research developed a simple method utilizing the self-excited oscillation caused from the hydraulic servo actuators to directly estimate the dynamic parameters such as the damping ratio and undamped natural frequency. The advantage of this method is an online identification ability that is able to identify these parameters while the operation conditions are continually changing. Although this method was confirmed to be very useful, it is available only when the spool valve is close to the neutral position, which corresponds to the operation of position control systems. In the practical situations, the spool valve sometimes operates at displaced position from the neutral center position such that a hydraulic motor speed is controlled. This paper proposes a revised self-excited oscillation method for this system. The experimental works are conducted by giving the various system pressures and angular velocities so as to validate the method. The resulting frequency characteristics of these identified transfer functions are then compared with those of the measured data by the frequency characteristics method. In addition, in order to demonstrate the effectiveness of the self-excited oscillation method, the dynamic parameters of two practical devices such as a motion seat and aircraft tail surface control simulator are identified and compared with the results from the frequency response method.
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References
Astrom, K. J., Lee, T. H., Tan, K. K. and Johansson,
K. H. 1995. Recent Advanced in Relay Feedback
Method, Proceedings of IEEE International Conference
on systems, pp. 2616 - 2621.
Fujii, B., Ito, Z. and Kita, Z. 1968. Measurement
method of dynamics for control system using limit
cycle. Journal of the society of instrument and control
engineers. Vol. 7, No.4, pp. 248 - 257 (in Japanese)
Hwang, U. - K. and Cho, S. - H. 2002. Application of
a Neural Network for Identification and Control of a
Servovalve Controlled Hydraulic Cylinder System,
Proceedings of the 5th JFPS International Symposium
on Fluid Power, Nara, Japan, pp. 205 - 210.
Ichiyanagi, T., Nishiumi, T. and Katoh, H. 2003.
Real-time identification using a self-excited oscillation
method to an electro-hydraulic servo system,
First International Conference on Computational
Methods in Fluid Power Technology, FPNI, Melbourne,
Australia, pp. 423 - 431.
Jelali, M. and Kroll, A. 2003. Hydraulic Servo-systems
(Chapter 5, Experimental Modelling (Identification)),
Springer, ISBN 1-85233-692-7, pp. 127 -
Konami, S., Nishiumi, T. and Hata, K. 1996. Identification
of linearized electro-hydraulic servovalve
dynamics by analyzing self-excited oscillations
(First report, a case in which flow-rate detector delay
is negligible), Journal of Hydraulics & Pneumatics,
Vol. 27, No. 4, pp. 143 - 149. (in Japanese)
Konami, S., Nishiumi, T. and Hata, K. 1997. Identification
of linearized electro-hydraulic servovalve
dynamics by analyzing self-excited oscillations
(Second report, a case in which flow-rate detector
delay must be consider), Journal of Hydraulics &
Pneumatics, Vol. 28, No. 3, pp. 88 - 94. (in Japanese)
Nishiumi, T., Ichiyanagi, T., Katoh, H. and Konami,
S. 2005. Real-time parameter estimation of hydraulic
servo actuator systems using self-excited oscillation
method (Identification of approximated transfer
function composed of integral and second order lag
elements), Journal of Japan Fluid Power Systems
Society, Vol. 36, No. 1, pp. 1 - 8. (in Japanese)
Noskievic, P. 2005. Identification of the Pneumatic
Servo System using the Self-excited Oscillations,
Proceedings of the 6th JFPS International Symposium
on Fluid Power, Tsukuba, Japan, pp. 352 - 357.
Watton, J. 1989. Fluid power systems, Prentice Hall,
ISBN 0-13-323197-6, pp. 299 - 301.