A Suboptimal Controller Design Method for the Energy Efficiency of a Load-Sensing Hydraulic Servo System

1991 ◽  
Vol 113 (3) ◽  
pp. 487-493 ◽  
Author(s):  
S. D. Kim ◽  
H. S. Cho
Keyword(s):  
Energy Efficiency ◽  
Controller Design ◽  
Design Method ◽  
Servo System ◽  
Control Performance ◽  
Response Characteristics ◽  
Load Sensing ◽  
Highly Nonlinear ◽  
Hydraulic Servo ◽  
Hydraulic Servo System

The dynamic characteristics of a load-sensing hydraulic servo system are complex and highly nonlinear and, furthermore, the stability is critically deteriorated compared with that of the conventional hydraulic servo systems. Another property of the systems is that the setting value of the pump pressure-compensator considerably affects energy efficiency as well as control performance of the system. These features significantly add complexity to the controller design of the load-sensing systems. To guarantee satisfactory control performance and energy efficiency of the system an effective controller design method, therefore, needs to be developed. This paper considers a suboptimal PID control for the velocity control problem of a loadsensing hydraulic servo system. To show the effectiveness of the controller a series of simulations and experiments were performed. Both results show that the proposed suboptimal controller can produce satisfactory response characteristics and yield an effective trade-off between control performance and energy efficiency of the system.

Design and Integrated Simulation of the Electro-Hydraulic Servo System Based on AMESim and Matlab

2010 ◽  
Vol 44-47 ◽  
pp. 1355-1359 ◽  
Author(s):  
Xiang Xu ◽  
Zhi Xiong Li ◽  
Hong Ling Qin
Keyword(s):  
Control System ◽  
Design Method ◽  
Design Procedure ◽  
Servo System ◽  
Hydraulic Cylinder ◽  
Fast Response ◽  
Simulation Design ◽  
Integrated Simulation ◽  
Hydraulic Servo ◽  
Hydraulic Servo System

Since electro-hydraulic servo system has fast response and highest control accuracy, it has been widely used in industrial application, including aircraft, mining, manufacturing, and agriculture, etc. With the fast development of computer science, it is feasible and available to evaluate the performance of the designed control system via virtual simulation before the practical usage of the system. In order to optimize the design procedure of the electro-hydraulic proportional controller, the co-simulation design method based on AMESim-Matlab is presented for the electro-hydraulic servo system in this paper. High accuracy of the mathematical model of electro-hydraulic servo system was full-fitted by the use of AMESim, and the advantage of high solving precision for large amount of calculation was full played using Matlab. The PID controller was employed to realize the efficient control of the motion of the hydraulic cylinder. The united simulation technique was adopted to verify the good performance of the designed control system. The simulation results suggest that the proposed method is effective for the design of electro-hydraulic servo systems and thus has application importance.

scholarly journals Dual-valve parallel prediction control for an electro-hydraulic servo system

2019 ◽  
Vol 103 (1) ◽  
pp. 003685041987566
Author(s):  
Shi-jie Su ◽  
Yuan-yuan Zhu ◽  
Cun-jun Li ◽  
Wen-xian Tang ◽  
Hai-rong Wang
Keyword(s):  
Dynamic Response ◽  
Predictive Control ◽  
Servo System ◽  
High Flow ◽  
Control Performance ◽  
Proportional Integral Derivative ◽  
Hydraulic Servo ◽  
Response Performance ◽  
Hydraulic Servo System ◽  
Control Accuracy

To improve the dynamic response performance of a high-flow electro-hydraulic servo system, scholars have conducted considerable research on the synchronous and time-sharing controls of multiple valves. However, most scholars have used offline optimization to improve control performance. Thus, control performance cannot be dynamically adjusted or optimized. To repeatedly optimize the performance of multiple valves online, this study proposes a method for connecting a high-flow proportional valve in parallel with a low-flow servo valve. Moreover, this study proposes an algorithm in which a proportional–integral–derivative system and multivariable predictive control system are used as an inner loop and outer loop, respectively. The simulation and experimental results revealed that dual-valve parallel control could effectively improve the control accuracy and dynamic response performance of an electro-hydraulic servo system and that the proportional-integral-derivative–multivariable predictive control controller could further dynamically improve the control accuracy.

Performance Degradation Prediction for a Hydraulic Servo System Based on Elman Network and Support Vector Regression

2015 ◽  
Vol 764-765 ◽  
pp. 762-767
Author(s):  
Ji Chang Zhang ◽  
Chen Lu ◽  
Hong Mei Liu
Keyword(s):  
Support Vector Regression ◽  
Servo System ◽  
Support Vector ◽  
Degradation Index ◽  
Elman Neural Network ◽  
Highly Nonlinear ◽  
Hydraulic Servo ◽  
Hydraulic Servo System ◽  
The Difference ◽  
Fault Information

Hydraulic servo system is highly nonlinear. Building an accurate model of the system and predicting its remaining life are difficult. Thus, this study focuses on the prediction of the Hydraulic servo System based on Support vector regression (SVR). Elman neural network is utilized to build an observer to estimate the normal state output. The residual that contains a large amount of fault information is obtained, by calculating the difference between the estimated and actual values. Then we defined degradation index (DI) value which reflect the health of the system to normalize the residual. Lastly, a prediction model based on SVR established. The algorithm is verified by experiment.

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