Abstract
To create static models of actuators, linear or polynomial equations are used. Such models do not provide the necessary accuracy for the entire system, although they give an adequate result in a specific area of the process under consideration. In addition, the technical values of the coefficients in polynomial equations cannot always be explained. Analytical modeling of the static characteristics of the object allows us to analyze the influence of the parameters of the object on the overall model. After the model structure is built, the experimental determination of its coefficients ensures that an adequate model can be achieved faster.
In this work, a static model of a membrane pneumatic actuator is constructed by the analytical method. The coefficients of the model parameters were determined experimentally. The model and actual results of the process were comparatively analyzed.
First Page
1
Last Page
6
DOI
https://doi.org/10.51346/tstu-01.20.2-77-0056
References
1. C. Patrascioiu, C. Panaitescu, and N. Paraschiv, “Control valves - Modeling and simulation,” Proc. 11th WSEAS Int. Conf. Math. Methods, Comput. Tech. Intell. Syst. MAMECTIS ’09, Proc. 8th WSEAS NOLASC ’09, Proc. 5th WSEAS Control ’09, pp. 63–68, 2009.
2. Brain Nesbit, “Handbook of Valves and Actuators”, Elsevier Science & Technology Books, August 2007.
3. Thomas A. Hughes, “Measurment and Control Basics”, 5-th edition, USA, p-404, 2015.
4. C. Patrascioiu, C. Panaitescu, and N. Paraschiv, “Control valves - Modeling and simulation,” Proc. 11th WSEAS Int. Conf. Math. Methods, Comput. Tech. Intell. Syst. MAMECTIS ’09, Proc. 8th WSEAS NOLASC ’09, Proc. 5th WSEAS Control ’09, pp. 63–68, 2009.
5. Romeo E., Carlos R., Monzón A., Improved explicit equations for estimation of the friction factor in rough and smooth pipes, Chemical Engineering Journal 86 (2002), p. 369–374.
6. Xie,L.,Cong,Y.,and Horch,A.(2013).An improved valve stiction simulation model based on ISAstandardtests.ControlEng.Pract.,21,1359–1368.
7. Fester V.G., Slatter P.T., Dynamic similarity for non-Newtonian fluids in globe valves, Chemical Engineering Research and Design (87), 2009, 291–297.
8. Kano, M., Maruta, H., Kugemoto, H., and Shimizu, K.(2004). Practical model and detection algorithm for valve stiction. In IFAC symposium on Dynamics and Control of Process Systems, 5–7.
9. Chin, W., C., Computational Rheology for Pipeline and Annular Flow, Boston, MA, 2000.
10. He, Q.P. and Wang, J. (2013). Quantification of valve stiction based on a semi-physical model. In American Control Conference, 2013, 4362–4367.
11. He, Q.P., Wang, J., Pottmann, M., and Qin, S.J. (2007). A curve fitting method for detecting valve stiction in oscillating control loops. Ind. Eng. Chem. Res., 46(13), 4549–4560.
12. Jinescu, G., Vasilescu, P., Jinescu, C., The Real Fluide Dynamic into process plant, Editura SemnE, Bucureşti. 2001 (Romanian).
13. Patrascioiu C., Mihai L., The Modeling and Simulation of the Control Valves in Hydraulic Systems, Petroleum-Gas University of Ploiesti, Bulletin, Technical Series, LX, No. 3B, 2008.
14. Patrascioiu C., Mihai L., The Modeling of Control Valves in Hydraulic Systems, Proceedings of the 9th International Carpathian Control Conference, Sinaia, Romania, 2008.
15. Hayes R. W., Match valves with pumps to improve system performance, Hydrocarbon Processing, May 1995.
Recommended Citation
Kasimov, F. O. and Ismailov, M.A.
(2020)
"MODELING THE STATISTICAL CHARACTERISTICS OF A MEMBRANE PNEUMATIC VALVE IN MATLAB,"
Technical science and innovation: Vol. 2020:
Iss.
2, Article 1.
DOI: https://doi.org/10.51346/tstu-01.20.2-77-0056
Available at:
https://btstu.researchcommons.org/journal/vol2020/iss2/1