Yaozhong Xu
Laboratory AMPERE - UMR CNRS 5005, INSA Lyon, University of Lyon, Villeurbanne, France
Eric Bideaux
Laboratory AMPERE - UMR CNRS 5005, INSA Lyon, University of Lyon, Villeurbanne, France
Daniel Thomasset
Laboratory AMPERE - UMR CNRS 5005, INSA Lyon, University of Lyon, Villeurbanne, France
Ladda ner artikel
http://dx.doi.org/10.3384/ecp1392a52Ingår i: 13th Scandinavian International Conference on Fluid Power; June 3-5; 2013; Linköping; Sweden
Linköping Electronic Conference Proceedings 92:52, s. 523-530
Publicerad: 2013-09-09
ISBN: 978-91-7519-572-8
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
In industry; some unexpected or unpredicted effects make difficult to apply certain control techniques which show good performances in laboratory. In this paper; we introduce two new control methods; called the model-free control and the control with restricted model [1--3]; in the case of position tracking of an electro-hydraulic test rig. For an industrial point of view; these methods present many advantages as they are closed to the classic PID control and do not required an intensive modelling work. However; an accurate differentiation of the output has to be done on-line at high sampling frequency in order to estimate accurately the evolution of the state function. Experiments are conducted to estimate the sensibility of these control strategies to the system parameter perturbations. The results illustrate that the proposed controls have a good robustness performance; and that the tracking performance is sensitive to the velocity estimation precision
Model-Free Control; Control with Restricted Model; Robustness Analysis; Nonlinear System; Eletro-Hydraulic System
[1] M. Fliess and C. Join. Commande sans modèle et commande à modèle restreint. e-STA; 5(4):1–23; 2008.
[2] M. Fliess and C. Join. Model-free control and intelligent pid controllers: Towards a possible trivialization of nonlinear control. In Proceeding of 15th IFAC Symp. System Identif.; Saint-Malo; 2009.
[3] M. Fliess; C. Join; and S. Riachy. Nothing is as practical as a good theory: Model-free control. In JN-JD-MACS; Marseille; 2011.
[4] H.E. Merritt. Hydraulic Control Systems. John Wileys and Sons; Cincinnati; Ohio; 1967. ISBN 0-471-59617- 5.
[5] D.H. Kim and T.-C. Tsao. A linearized electrohydraulic servovalve model for valve dynamics sensitivity analysis and control system design. Journal of Dynamic Systems; Measurement; and Control; 122(4):179–187; 2000.
[6] M. Smaoui; X. Brun; and D. Thomasset. A study on tracking position control of electropneumatic system using backstepping design. Control Engineering Practice; 14(8):923–933; Aug. 2006.
[7] Y. Xu; L. Sidhom; E. Bideaux; and M. Smaoui. Multivariable backstepping controls of a high bandwidth
lectro-hydraulic actuator. In Proceeding of Bath/ASME Symposium on Fluid Power & Motion Control; Bath; UK; pages 397–410; Sep. 2012.
[8] A. Levant. Universal siso sliding-mode controllers with finite-time convergence. In IEEE Transaction on Automatic Control; Barcelona; volume 46; pages 1447– 1451; 2001.
[9] G. Bartolini; A. Pisano; and E. Usai. A survey applications of second-order sliding mode control to mechanical systems. International Journal of Control; 76(9):875–892; June 2003.
[10] Y. Xu; E. Bideaux; S. Sesmat; and J.P. Simon. Dynamic effect of the intermediate block in a hydraulic control system. Journal of Mechanical Engineering and Automation; 2(6); Nov. 2012.
[11] Y. Xu; E. Bideaux; and D. Thomasset. Model-free control and control with restricted model of a high performance hydraulic system. In 8th International
Conference on Fluid Power Transmission and Control; Hangzhou; China; 2013.
[12] L. Sidhom; M. Smaoui; D. Thomasset; X. Brun; and E. Bideaux. Adaptive higher order sliding modes for two-dimensional derivative estimation. In Proceeding of 18th World Congress of the International Federation of Automatic Control (IFAC); Milano; 2011.
[13] MOOG. Servovalves with integrated electronics d765 series. Technical report; MOOG Inc.
