Abstract
In practical electro-pneumatic or hydraulic servo mechanism, there is usually an unavoidable operating delay time in the solenoid valves. This may sometimes cause closed-loop instability if the time delay is not treated carefully in the control system designs. Furthermore, pneumatic actuators can offer high performance at low cost, but are often suffered from external disturbances depending on the operating conditions. This paper proposes a non-model-based design approach for pneumatic actuating systems. In the proposed control system, a gain scheduled fuzzy-PID controller ensures tracking performance an adaptable wavelet neuro compensator compensates for time-delay of the control valve, and a disturbance rejecter diminishes influence from load changes. A condition ensuring the closed-loop stability is derived. The proposed design is experimentally verified to show its effectiveness.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Chen, C. L., & Jong, M. J. (1993). Fuzzy predictive control for the time-delay system. In Proceedings of 2nd IEEE International Conference on Fuzzy Systems (pp. 236–240). San Francisco, CA.
Chen, S. B., & Wu, L. (1996). Fuzzy neural networks for control of uncertain systems with time delays. In Proceedings of 15th IEEE International Conference on Fuzzy Systems (pp. 1171–1177). New Orleans, LA.
Chillari, S., Guccione, S., & Muscato, G. (2001). An experimental comparison between several pneumatic position methods. In Proceedings of 40th IEEE Conference on Decision and Control (pp. 1168–1173). Orlando, FL.
Ciftcioglu, O. (1999). From neural to wavelet network. In Proceedings of 18th International Conference of the North American Fuzzy Information (pp. 894–898). New York, NY.
Daubechise I. (1990). The wavelet transform, time-frequency localization and signal analysis. IEEE Transactions on Information Theory 36: 961–1005
Dorf, R. C., & Bishop, R. H. (1995). Modern control systems. Addision Wesley.
Jinhua, X., & Ho, D. W. C. (1999). Adaptive wavelet networks for nonlinear system identification. In Proceedings of American Control Conference (pp. 3472–3473). San Diego, CA.
Mallet S.G. (1984). A theory for multi-resolution signal decomposition: The wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligent 11: 723–736
Matsui T., Ishimoto E. and Takawaki M. (1990). Learning control of a pneumatic cylinder using fuzzy reasoning. Journal of Fluid Control 20: 7–29
Mistry S.I. and Nair S.S. (1994). Identification and control experiments using neural designs. IEEE Control Systems Magazine 14: 48–57
Morari M. and Zafiriou E. (1989). Robust process control. Prentice-Hall, Englewood Cliffs, NJ
Muto T., Yamada H. and Suematsu Y. (1990). PWM-digital control of a hydraulic actuator utilizing two-way solenoid valves. Journal of Fluid Control 20: 24–41
Noritsugu T. (1986). Speed control of a pneumatic cylinder. Journal of Fluid Control 17: 65–80
Noritsugu T. (1987). Position control of a pneumatic cylinder. Journal of Fluid Control 17: 7–31
Robert B.V. and Gary M.B. (1997). Accurate position control a pneumatic actuator using on/off solenoid valves. IEEE/ASME Transactions on Mechatronics 2: 195–204
Shearter J.L. (1983). Digital simulation of a coulomb-damped hydraulic servo systems. Journal of the Dynamic Systems. Measurement and Control 105: 215–221
Shih M.C. and Ma M.A. (1991). Position control of a pneumatic cylinder using fuzzy PWM control method. Mechatronics 8: 241–253
Szente, V., & Vad, J. (2001). Computational and experimental investigation on solenoid valve dynamics. In Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Como (pp. 618–623).
Vidyasagar M. (1985). Control system synthesis: A factorization approach. MIT Press, Cambridge
Vilirn R.B., Garcia H.E. and Chen F. W. (2001). An identification scheme combining first principle knowledge, neural networks, and the likelihood function. IEEE Transactions on Control Systems Technology 9: 186–199
Zhang J., Miao Y., Lee W. and WalterG.G. (1995). Wavelet neural networks for function learning. IEEE Transactions on Signal Processing 43: 1485–1497
Zurada J.M. (1992). Introduction to artificial neural systems. West Publishing Co., St. Paul, MN
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Lin, CL., Chen, CH. & Shiu, BM. A neural net-based time-delay compensation scheme and disturbance rejection for pneumatic systems. J Intell Manuf 19, 407–419 (2008). https://doi.org/10.1007/s10845-008-0092-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10845-008-0092-6