MRAC for Direct Drive Electronic-Hydraulic Servo System

2012 ◽  
Vol 433-440 ◽  
pp. 4142-4148
Author(s):  
Lei Han ◽  
Hong Jie Wang ◽  
De You Li ◽  
Yang Yao
Keyword(s):  
Position Control ◽  
Control Method ◽  
Servo System ◽  
Mathematic Model ◽  
Order System ◽  
Direct Drive ◽  
Actual System ◽  
Hydraulic Servo ◽  
Hydraulic Servo System ◽  
Time Domain Response

In order to improve the accuracy, stability and rapidity of response, the paper built the mathematic model, and designed the high order system following the low order model based on Popov Hyperstable theory. Then applied this control method and PID method in actual system, compared them in time domain response. The result approves that the system owns better rapid and stable characteristics, satisfying the requirement when the direct drive electronic-hydraulic position control system changes its conditions. Further, improves that the theory is correct, certificates that the MRAC is very adaptive to the direct drive electronic-hydraulic servo system.

Research on Position / Velocity Synergistic Control of Electro Hydraulic Servo System

2020 ◽  
Vol 13 (4) ◽  
pp. 366-377 ◽  
Author(s):  
Bingwei Gao ◽  
Yongtai Ye
Keyword(s):  
Position Control ◽  
Control Method ◽  
Control Object ◽  
Servo System ◽  
Control Effect ◽  
Positioning Accuracy ◽  
Feed Forward ◽  
Neural Network Controller ◽  
Hydraulic Servo ◽  
Hydraulic Servo System

Background: In some applications, the requirements of electro-hydraulic servo system are not only precise positioning, but also the speediness capability at which the actuator is operated. Objective: In order to enable the system to achieve rapid start and stop during the work process, reduce the vibration and impact caused by the change of the velocity, at the same time improve the positioning accuracy, and further strengthen the stability and the work efficiency of the system, it is necessary to perform the synergistic control between the position and the velocity of the electrohydraulic servo system. Methods: In order to achieve synergistic control between the position and the velocity, a control method of velocity feed-forward and position feedback is adopted. That is, based on the position control, the speed feed-forward is added to the outer loop as compensation. The position control adopts the PID controller, and the velocity control adopts the adaptive fuzzy neural network controller. At the same time, the position and velocity sensors are used for feedback, and the deviation signals between the position and the velocity obtained by superimposing the feedback are used as the final input of the control object, thereby controlling the whole system. Results: The control effect of the designed position / velocity synergistic controller is verified by simulation and experiment. The results show that the designed controller can effectively reduce the vibration and impact caused by the change of the velocity, and greatly improve the response velocity and the position accuracy of the system. Conclusion: The proposed method provides technical support for multi-objective synergistic control of the electro-hydraulic servo system, completes the requirements of multi-task operation, improves the positioning accuracy and response velocity of the electro-hydraulic servo system, and realizes the synergy between the position and the velocity. In this article, various patents have been discussed.

scholarly journals An Application of Mixed Sensitivity Control Method in Direct-Drive Electro-Hydraulic Servo System

2011 ◽  
Vol 16 ◽  
pp. 518-525 ◽  
Author(s):  
Deyou Li ◽  
Hongjie Wang ◽  
Yang Yao ◽  
Shixun Liu ◽  
Lei Han
Keyword(s):  
Control Method ◽  
Servo System ◽  
Direct Drive ◽  
Sensitivity Control ◽  
Hydraulic Servo ◽  
Hydraulic Servo System

Direct Drive Volume Control Electro-Hydraulic Servo Ship Rudder

2010 ◽  
Vol 439-440 ◽  
pp. 1388-1392 ◽  
Author(s):  
Wen Hai Su ◽  
Ji Hai Jiang
Keyword(s):  
High Efficiency ◽  
High Reliability ◽  
Servo System ◽  
Mathematic Model ◽  
Steering System ◽  
Volume Control ◽  
Direct Drive ◽  
Flexible Control ◽  
Hydraulic Servo ◽  
Hydraulic Servo System

Direct drive volume control（DDVC）electro-hydraulic servo system has synthesized the advantages of high power of hydraulic system and flexible control of the motor. It also has other features such as energy saving, high efficiency, small bulk and high reliability. On the background for application to the ship steering system, DDVC electro-hydraulic servo system for the control actuator of ship is designed and the mathematic model is made and simulated with Matlab/Simulink. The steering gears closed-loop system’s simulation obtained the perfect dynamic performances; verify the correctness of the design with its control strategy. It can satisfy the ships request of boat to steering gears system and the DDVC electro-hydraulic servo system will be a extensive prospective power equipment of the control actuator of ship in future.

The Modeling and Control of the Hydraulic Servo System by Using On-Off Valve

2000 ◽  
Author(s):  
Xuanyin Wang
Keyword(s):  
Servo System ◽  
Mathematic Model ◽  
Hydraulic Cylinder ◽  
Servo Control ◽  
Linear Quadratic ◽  
Modeling And Control ◽  
Hydraulic Servo ◽  
Self Tuning ◽  
Hydraulic Servo System ◽  
And Control

Abstract This paper researches on the hydraulic servo system by using ordinary on-off valves. The mathematic model of an asymmetric hydraulic cylinder servo control system is built, and its characteristic is analysed here. To reduce the static and dynamic characteristic differences between forward and reverse motion of asymmetric cylinder, and improve system’s performance, a self-tuning linear quadratic gaussian optimum controller (SLQG) is designed successful. In the end, an asymmetric hydraulic cylinder servo system of paint robot is researched. The result shows that the above method is effective.

System identification and robust position control for electro-hydraulic servo system using hybrid model predictive control

2017 ◽  
Vol 24 (18) ◽  
pp. 4145-4159 ◽  
Author(s):  
Hai-Bo Yuan ◽  
Hong-Cheol Na ◽  
Young-Bae Kim
Keyword(s):  
System Identification ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Position Control ◽  
Servo System ◽  
Model Parameters ◽  
Integral Control ◽  
Hybrid Controller ◽  
Hydraulic Servo ◽  
Hydraulic Servo System

This paper examined system identification using grey-box model estimation and position-tracking control for an electro-hydraulic servo system (EHSS) using hybrid controller composed of proportional-integral control (PIC) and model predictive control (MPC). The nonlinear EHSS model is represented by differential equations. We identify model parameters and verify their accuracy against experimental data in MATLAB to evaluate the validity of this mathematical model. To guarantee improved performance of EHSS and precision of cylinder position, we propose a hybrid controller composed of PIC and MPC. The controller is designed using the Control Design and Simulation module in the Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW). A LabVIEW-based experimental rig is developed to apply the proposed controller in real time. Then, the validity and performance superiority of the hybrid controller were confirmed by comparing them with the MPC and PIC results. Results of real-life experiments show improved robustness and dynamic and static properties of EHSS.

Optimization of the Dynamic Performance of the Direct Drive Volume Control System Based on Orthogonal Experiment

2014 ◽  
Vol 945-949 ◽  
pp. 2680-2684
Author(s):  
Ai Qin Huang ◽  
Yong Wang
Keyword(s):  
Control System ◽  
Dynamic Response ◽  
Orthogonal Experiment ◽  
Dynamic Performance ◽  
Servo System ◽  
Volume Control ◽  
Structure Parameters ◽  
Direct Drive ◽  
Hydraulic Servo ◽  
Hydraulic Servo System

Direct drive volume control (DDVC) electro-hydraulic servo system has many advantages compared to the valve control system. However, its application scopes were restricted by its poor dynamic performance. To study the reason for the low dynamic response, mechanical model of DDVC electro-hydraulic servo system is established. Structure parameters influencing the dynamic performance are analyzed. To optimize the structure parameters, the methodology of orthogonal experiment is presented. The selection of factors and levels of the experiment and the choice of the evaluation index are also revealed. The proposed methodology is carried out by simulation software and an optimal configuration is obtained. The dynamic response of the DDVC system with the optimal parameters is simulated. The results show that the dynamic performances are improved. The cross-over frequencyincreases from 0.0046 rad/s to 0.0442 rad/s, and the rise time Tr decreases from 488.6s to 47.90s.

scholarly journals Nonlinear Adaptive Robust Control of the Electro-Hydraulic Servo System

2020 ◽  
Vol 10 (13) ◽  
pp. 4494 ◽  
Author(s):  
Lijun Feng ◽  
Hao Yan
Keyword(s):  
Robust Control ◽  
Position Control ◽  
External Disturbance ◽  
Servo System ◽  
Adaptive Robust Control ◽  
Superior Performance ◽  
Parametric Uncertainties ◽  
State Equations ◽  
Hydraulic Servo ◽  
Hydraulic Servo System

This paper focuses on high performance adaptive robust position control of electro-hydraulic servo system. The main feature of the paper is the combination of adaptive robust algorithm with discrete disturbance estimation to cope with the parametric uncertainties, uncertain nonlinearities, and external disturbance in the hydraulic servo system. First of all, a mathematical model of the single-rod position control system is developed and a nonlinear adaptive robust controller is proposed using the backstepping design technique. Adaptive robust control is used to encompass the parametric uncertainties and uncertain nonlinearities. Subsequently, a discrete disturbance estimator is employed to compensate for the effect of strong external disturbance. Furthermore, a special Lyapunov function is formulated to handle unknown nonlinear parameters in the system state equations. Simulations are carried out, and the results validate the superior performance and robustness of the proposed method.

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