Coupled-disturbance-observer-based position tracking control for a cascade electro-hydraulic system.

The disturbance suppression is one of the most common control problems in electro-hydraulic systems. especially largely an unknown disturbance often obviously degrades the dynamic performance by biasing the desired actuator outputs (e.g., load forces or torques). In order to reject the dynamic disturbances in some multi-degree-of-freedom manipulators driven by electro-hydraulic actuators, this paper proposes a state feedback control of the cascade electro-hydraulic system based on a coupled disturbance observer with backstepping. The coupled disturbance observer is designed to estimate both the independent element and the coupled element of the external loads on each electro-hydraulic actuator. The cascade controller has the ability to compensate for the disturbance estimating, as well as guarantees the system state error convergence to a prescribed steady state level. The effectiveness of the proposed controller for the suppression of largely unknown disturbances has been demonstrated by comparative study, which implies the proposed approach can achieve better dynamic performance on the motion control of Two-Degree-of-Freedom robotic arm.

[1]  Bin Yao,et al.  Observer based coordinated adaptive robust control of robot manipulators driven by single-rod hydraulic actuators , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[2]  Wei He,et al.  Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints , 2016, IEEE Transactions on Cybernetics.

[3]  Andrew Plummer,et al.  Robust Adaptive Control for Hydraulic Servosystems , 1990 .

[4]  Chung Choo Chung,et al.  High-Gain Disturbance Observer-Based Backstepping Control With Output Tracking Error Constraint for Electro-Hydraulic Systems , 2015, IEEE Transactions on Control Systems Technology.

[5]  Shang Yaoxing,et al.  Adaptive Nonlinear Optimal Compensation Control for Electro-hydraulic Load Simulator , 2010 .

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

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

[8]  Yu Wang,et al.  Robust stabilizer design for linear time-varying internal model based output regulation and its application to an electrohydraulic system , 2014, Autom..

[9]  Andrei Halanay,et al.  New stabilization and tracking control laws for electrohydraulic servomechanisms , 2013, Eur. J. Control.

[10]  R. Fales,et al.  Robust control design for a wheel loader using mixed sensitivity h-infinity and feedback linearization based methods , 2005, Proceedings of the 2005, American Control Conference, 2005..

[11]  Qi Zhang,et al.  Neural network based dynamic surface control of hypersonic flight dynamics using small-gain theorem , 2016, Neurocomputing.

[12]  Changyin Sun,et al.  Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[13]  Roger Fales,et al.  Robust control design for a wheel loader using Hinfinity and feedback linearization based methods. , 2009, ISA transactions.

[14]  M. Saad,et al.  Identification and Real-Time Control of an Electrohydraulic Servo System Based on Nonlinear Backstepping , 2007, IEEE/ASME Transactions on Mechatronics.

[15]  Vladimir Milić,et al.  Robust Hinfinity position control synthesis of an electro-hydraulic servo system. , 2010, ISA transactions.

[16]  Haoyong Yu,et al.  Design and control of a novel compliant differential shape memory alloy actuator , 2015 .

[17]  H. E. Merritt,et al.  Hydraulic Control Systems , 1991 .

[18]  Shuang Zhang,et al.  Control Design for Nonlinear Flexible Wings of a Robotic Aircraft , 2017, IEEE Transactions on Control Systems Technology.

[19]  Shuzhi Sam Ge,et al.  Cooperative control of a nonuniform gantry crane with constrained tension , 2016, Autom..

[20]  Andrew Plummer,et al.  Performance analysis of a new energy-efficient variable supply pressure electro-hydraulic motion control method★ , 2017 .

[21]  Jianyong Yao,et al.  Adaptive integral robust control of hydraulic systems with asymptotic tracking , 2016 .

[22]  Tian Yu,et al.  Parametric adaptive estimation and backstepping control of electro-hydraulic actuator with decayed memory filter. , 2016, ISA transactions.

[23]  Junzheng Wang,et al.  Fractional order control to the electro-hydraulic system in insulator fatigue test device , 2013 .

[24]  Haoyong Yu,et al.  Dynamic surface control via singular perturbation analysis , 2015, Autom..

[25]  Haoyong Yu,et al.  Composite Learning From Adaptive Dynamic Surface Control , 2016, IEEE Transactions on Automatic Control.

[26]  S. Daley,et al.  Optimal-tuning PID controller design in the frequency domain with application to a rotary hydraulic system , 1999 .

[27]  Hong Yu,et al.  Nonlinear control for a class of hydraulic servo system , 2004, Journal of Zhejiang University. Science.

[28]  George T.-C. Chiu,et al.  Adaptive robust motion control of single-rod hydraulic actuators: theory and experiments , 2000 .

[29]  Wei He,et al.  Adaptive neural network control of coordinated robotic manipulators with output constraint , 2016 .

[30]  Nariman Sepehri,et al.  Design and experimental evaluation of a robust force controller for an electro-hydraulic actuator via quantitative feedback theory , 2000 .

[31]  Ioan Ursu,et al.  Backstepping design for controlling electrohydraulic servos , 2006, J. Frankl. Inst..

[32]  Shuang Zhang,et al.  Active vibration control for a flexible string system with input backlash , 2016 .

[33]  Yi Zhang,et al.  Backstepping Control of Electro-Hydraulic System Based on Extended-State-Observer With Plant Dynamics Largely Unknown , 2016, IEEE Transactions on Industrial Electronics.

[34]  Cheng Guan,et al.  Nonlinear Adaptive Robust Control of Single-Rod Electro-Hydraulic Actuator With Unknown Nonlinear Parameters , 2008, IEEE Transactions on Control Systems Technology.

[35]  Gong Chen,et al.  Human–Robot Interaction Control of Rehabilitation Robots With Series Elastic Actuators , 2015, IEEE Transactions on Robotics.

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

[37]  Rui Liu,et al.  Systematic control of a class of nonlinear systems with application to electrohydraulic cylinder pressure control , 2000, IEEE Trans. Control. Syst. Technol..

[38]  C. Chung,et al.  Output feedback nonlinear control for electro-hydraulic systems , 2012 .

[39]  Yi Zhang,et al.  A control Approach for Human-mechatronic-Hydrauliccoupled exoskeleton in Overload-carrying condition , 2016, Int. J. Robotics Autom..

[40]  Wodek Gawronski Balanced Systems and Structures: Reduction, Assignment, and Perturbations , 1992 .

[41]  P. P. Yip,et al.  Adaptive dynamic surface control : a simplified algorithm for adaptive backstepping control of nonlinear systems , 1998 .

[42]  Chung Choo Chung,et al.  Disturbance-Observer-Based Position Tracking Controller in the Presence of Biased Sinusoidal Disturbance for Electrohydraulic Actuators , 2013, IEEE Transactions on Control Systems Technology.

[43]  Miroslav Krstic,et al.  Nonlinear and adaptive control de-sign , 1995 .

[44]  Zhencai Zhu,et al.  Real-time electro-hydraulic hybrid system for structural testing subjected to vibration and force loading , 2016 .

[45]  Masayoshi Tomizuka,et al.  Flatness-Based Nonlinear Control for Position Tracking of Electrohydraulic Systems , 2015, IEEE/ASME Transactions on Mechatronics.

[46]  Tian Yu,et al.  Robust H(∞) positional control of 2-DOF robotic arm driven by electro-hydraulic servo system. , 2015, ISA transactions.

[47]  Zhiqiang Gao,et al.  On stability analysis of active disturbance rejection control for nonlinear time-varying plants with unknown dynamics , 2007, 2007 46th IEEE Conference on Decision and Control.

[48]  Chenguang Yang,et al.  Global Neural Dynamic Surface Tracking Control of Strict-Feedback Systems With Application to Hypersonic Flight Vehicle , 2015, IEEE Transactions on Neural Networks and Learning Systems.