Position control for hydraulic systems with incomplete differential backstepping sliding mode control

Further improvement in the control accuracy of the hydraulic servo system is hampered by its position control structure and non-structural uncertainty. For structural uncertainties, nonlinear adaptive control can be applied to achieve asymptotic tracking performance. While unstructured uncertainties, such as nonlinear frictions, always exist in hydraulic systems and reduce the tracking accuracy. In this paper, an incomplete differential backstepping sliding mode control (IDBSMC) controller is proposed to realize the position control of hydraulic servo systems based on friction compensation. The controller combines backstepping design with sliding mode control. The problem of structured uncertainties of hydraulic servo system is solved by using the invariance of control system parameters and external disturbances in the sliding state and the problem of unstructured uncertainty is solved by friction compensation. The incomplete differential is introduced to weaken the differential effect of the controller, reduce the interference caused by pure differential mutation signal, and the filtering effect caused by incomplete differential can suppress the chattering of the sliding mode control. This paper, the high precision asymptotic tracking performance of the system is proved by theory and experiment in the presence of various uncertainties.

[1]  Tuna Balkan,et al.  Accurate pressure prediction of a servo-valve controlled hydraulic system , 2012 .

[2]  M. Choux,et al.  Extended friction model of a hydraulic actuated system , 2012, 2012 Proceedings Annual Reliability and Maintainability Symposium.

[3]  Shuang Du,et al.  Slide - Mode Variable Structure Adaptive Control of Electro-Hydraulic Servo Systems Based on LuGre Friction Model , 2014, CIT 2014.

[4]  Zongxia Jiao,et al.  Extended-State-Observer-Based Output Feedback Nonlinear Robust Control of Hydraulic Systems With Backstepping , 2014, IEEE Transactions on Industrial Electronics.

[5]  C. Canudas-de-Wit Comments on "A new model for control of systems with friction" , 1998, IEEE Trans. Autom. Control..

[6]  Bin Yao,et al.  Indirect Adaptive Robust Control of Hydraulic Manipulators With Accurate Parameter Estimates , 2011, IEEE Transactions on Control Systems Technology.

[7]  Wei Wu,et al.  Simulation study of a two-stroke Single Piston Hydraulic Free Piston Engine , 2008, 2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing.

[8]  V. Utkin Variable structure systems with sliding modes , 1977 .

[9]  Swaroop Darbha,et al.  Dynamic surface control for a class of nonlinear systems , 2000, IEEE Trans. Autom. Control..

[10]  K. Ito,et al.  Robust Control of Water Hydraulic Servo Motor System Using Sliding Mode Control with Disturbance Observer , 2006, 2006 SICE-ICASE International Joint Conference.

[11]  Lilan Liu,et al.  Comprehensive parameter identification of feed servo systems with friction based on responses of the worktable , 2015 .

[12]  Carlos Canudas de Wit,et al.  A new model for control of systems with friction , 1995, IEEE Trans. Autom. Control..

[13]  Tegoeh Tjahjowidodo,et al.  A new approach of friction model for tendon-sheath actuated surgical systems: Nonlinear modelling and parameter identification , 2015 .

[14]  Liang Yan,et al.  High-Accuracy Tracking Control of Hydraulic Rotary Actuators With Modeling Uncertainties , 2014, IEEE/ASME Transactions on Mechatronics.

[15]  George T.-C. Chiu,et al.  Nonlinear adaptive robust control of electro-hydraulic servo systems with discontinuous projections , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[16]  Zongxia Jiao,et al.  Adaptive Control of Hydraulic Actuators With LuGre Model-Based Friction Compensation , 2015, IEEE Transactions on Industrial Electronics.

[17]  Maolin Jin,et al.  Adaptive Backstepping Control of an Electrohydraulic Actuator , 2014, IEEE/ASME Transactions on Mechatronics.