Simulation of Hydraulic Servo System Based on Dynamic Monitoring in Mechanical Engineering

2013 ◽  
Vol 644 ◽  
pp. 85-88
Author(s):  
Jia Dong Dong ◽  
Li Chen Gu
Keyword(s):  
Real Time ◽  
Mechanical Engineering ◽  
Servo System ◽  
System Model ◽  
Dynamic Monitoring ◽  
Belt Conveyor ◽  
Hydraulic Servo ◽  
Axis Position ◽  
Hydraulic Servo System ◽  
The Stability

Sensor system of the belt conveyor is designed, then corrective and alarm command is given. According to the signal of real-time monitoring, belt deviation state is determined, and roller axis position is adjusted in order to achieve the purpose of deviation – adjusting. Based on dynamic monitoring of the belt conveyor, corrective devices are constructed, and hydraulic servo system model is designed by Matlab software in this paper, then the stability of the system is analyzed.

Adaline neural network-based adaptive inverse control for an electro-hydraulic servo system

2011 ◽  
Vol 17 (13) ◽  
pp. 2007-2014 ◽  
Author(s):  
Jianjun Yao ◽  
Xiancheng Wang ◽  
Shenghai Hu ◽  
Wei Fu
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Servo System ◽  
Inverse Model ◽  
Lms Algorithm ◽  
Adaptive Inverse Control ◽  
Inverse Control ◽  
The Neural Network ◽  
Hydraulic Servo ◽  
Hydraulic Servo System

Based on adaptive inverse control theory, combined with neural network, neural network adaptive inverse controller is developed and applied to an electro-hydraulic servo system. The system inverse model identifier is constructed by neural network. The task is accomplished by generating a tracking error between the input command signal and the system response. The weights of the neural network are updated by the error signal in such a way that the error is minimized in the sense of mean square using (LMS) algorithm and the neural network is close to the system inverse model. The above steps make the gain of the serial connection system close to unity, realizing waveform replication function in real-time. To enhance its convergence and robustness, the normalized LMS algorithm is applied. Simulation in which nonlinear dead-zone is considered and experimental results demonstrate that the proposed control scheme is capable of tracking desired signals with high accuracy and it has good real-time performance.

Dynamic Characteristic Analysis of Hydraulic Servo System in a Mold Oscillating Mechanism

2014 ◽  
Vol 1025-1026 ◽  
pp. 183-191 ◽  
Author(s):  
Yong Hui Park ◽  
Hyun Chul Park
Keyword(s):  
Servo System ◽  
Characteristic Analysis ◽  
Operation Conditions ◽  
Design Variables ◽  
Hydraulic Servo ◽  
Natural Characteristic ◽  
Hydraulic Servo System ◽  
The Stability ◽  
Oil Gas ◽  
Force Equilibrium

In this study, a hydraulic servo system for mold oscillating mechanism was investigated. In order to check the efficiency and the stability of system, its geometrical designs, which change the natural characteristic of system, including a spool volume, area of piston, and so on were analyzed by a non-linear model. The model was composed of the equation of orifice, the continuity equation, and the force equilibrium including a variable effective bulk modulus belonging to operating oil, gas, and cylinder. All simulations were conducted by the MATLAB SIMULINK, and simulated as specific conditions corresponding real operation conditions in the steel industry. According to the analysis, the relation between a controller, servo design, and system performance was investigated with physical means. And, the fact that not compared to other design variables, the entrance shape on spool was dominant to determine the stability and the performance of system, was found. Furthermore, a fault detection method, and optimization problem including this work were discussed.

Trajectory Tracking and Control Algorithm for Precision Parallel Robot

2019 ◽  
Vol 23 (2) ◽  
pp. 237-241
Author(s):  
Shanshan Chen ◽  
Keyword(s):  
Response Time ◽  
Trajectory Tracking ◽  
Control Algorithm ◽  
Servo System ◽  
Parallel Robot ◽  
System Model ◽  
Upper And Lower Bounds ◽  
Hydraulic Servo ◽  
Hydraulic Servo System ◽  
And Control

When the state of the robot reaches the smooth sliding plane, the current algorithm will generate high-frequency chattering, resulting in larger tracking error and longer response time. To solve these problems, we have proposed a trajectory tracking and control algorithm based on exponential reaching rate. The coordinate system of parallel robot system is established, and the kinetic energy and potential energy of the system are calculated. The results are brought into the Lagarnge equation to find the dynamic model of the system. The power amplifier, electro-hydraulic servo valve, hydraulic cylinder and its load are taken as generalized controlled objects, and the hydraulic servo system model is established. The exponential approaching rate is introduced to design the dynamics model and the trajectory tracking sliding controller of the hydraulic servo system model. By adjusting the upper and lower bounds of the external disturbance of the controller, the control rate is changed, the buffeting occurrence is reduced, and the response time is shortened, to realize the low error tracking of any trajectory of the robot. The experimental results show that the trajectory of the robot can be adjusted quickly and the desired trajectory is better tracked by the end.

An Integrated Approach for the Realization of the Real-Time Control in Electro-Hydraulic Servo System

2007 ◽  
Vol 10-12 ◽  
pp. 513-517 ◽  
Author(s):  
Y. Zhao ◽  
D.C. Cong ◽  
Jun Wei Han
Keyword(s):  
Real Time ◽  
Digital Signal Processor ◽  
Servo System ◽  
Integrated Approach ◽  
Test System ◽  
Control Algorithms ◽  
Loading Test ◽  
The Real ◽  
Hydraulic Servo ◽  
Hydraulic Servo System

In industrial practice, for the designers and researchers of the electro-hydraulic servo system, it is desirable to boost the reliability of controllers, to shorten the design cycle of control algorithms, to simplify the modification of control algorithms during experiments and to shorten training period for operators. In this paper, we present a new, complete and integrated method based on the rapid control prototyping for the real-time digital control applied in electro-hydraulic servo system. The approach uses a collection of tools that include both software (LabVIEW and Matlab) and hardware (a host industrial computer and a target developed digital signal processor controller). An application example of the methodology, synchronous loading test system based on artificial neural networks, completes the discussion about the performance of the designed system.

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