New Control Strategy of Electro-Hydraulic Pressure Control System

2009 ◽  
Author(s):  
Yuanliang Zhang ◽  
Shijie Cui ◽  
Xiaole Yang
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Pressure Control ◽  
Hydraulic Pressure ◽  
Pressure Control System

scholarly journals RENOVATION OF NMIJ'S 5 MN HYDRAULIC AMPLIFICATION TYPE FORCE STANDARD MACHINE

2013 ◽  
Vol 24 ◽  
pp. 1360011
Author(s):  
TOSHIYUKI HAYASHI ◽  
HIROSHI MAEJIMA ◽  
KAZUNAGA UEDA ◽  
MITSUHARU AOKITSU
Keyword(s):  
Control System ◽  
Amplification Factor ◽  
Pressure Gauge ◽  
Pressure Control ◽  
Force Transducer ◽  
Hydraulic Pressure ◽  
Programmable Logic ◽  
Pressure Control System ◽  
Type Pressure ◽  
Measurement Repeatability

The 5 MN hydraulic amplification type force standard machine was renovated by replacing its hydraulic pressure control system, measuring ram and cylinder. For re-evaluation of uncertainty of force amplification factor, diameters of the main and mearsuring rams and cylinders were re-measured. A programmable logic controller with a personal computer is used to control the weight motion and the valve actuation, to monitor various kinds of sensors output, and to record readings of a force transducer under calibration. Fluctuation of calibration force was suppressed by using a quartz-resonance type pressure gauge, and measurement repeatability was improved to some extent. However, there remains room for improvement to further stabilize the calibration force by modifying the measuring ram.

Application of ANN in Hydraulic Pressure Control Fault Diagnosis System

2013 ◽  
Vol 347-350 ◽  
pp. 864-868
Author(s):  
Xiao Yu Zhang ◽  
Li Li Ding
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fault Diagnosis ◽  
Pressure Control ◽  
Fault Isolation ◽  
Hydraulic Pressure ◽  
Diagnosis System ◽  
Pressure Control System ◽  
Fault Diagnosis System ◽  
Artificial Neural Network Ann

The existing hydraulic pressure control fault diagnosis system is effective on fault detection, but the fault isolation capability is bad. In order to improve the capability of the fault isolation, the artificial neural network (ANN) is used in the fault diagnosis system. Aimed at the representative diagnosis of the hydraulic pressure control system, the three layers feedback network is adopted, the basic theory of conjugate gradient BP neural network is explained in detail, and the key techniques are introduced. Five types of typical faults of hydraulic pressure control system can be distinguished easily by it, the faults diagnosis efficiency is higher 30% than ever and the fault diagnosis capability is better 80% than before.

Study and Development on an Electro-Hydraulic Pressure Control System of the Riveting Machine

2013 ◽  
Vol 321-324 ◽  
pp. 1641-1644 ◽  
Author(s):  
Li Xu
Keyword(s):  
Control System ◽  
Control Parameter ◽  
Pressure Control ◽  
Fast Response ◽  
Hydraulic Pressure ◽  
Precise Control ◽  
Control Precision ◽  
Pressure Control System ◽  
Hydraulic Servo ◽  
High Control

An electro-hydraulic servo pressure control system was proposed, which meet the request of fast response, zero overstep and high control precision, based on analyzing the technique of riveting. The proper control parameter which is got by the debugging result of the PID arithmetic in PLC realized the precise control of systems pressure. In practice the device has good application value.

Adaptive Fuzzy PID Applied in Steam Pressure Control System

2012 ◽  
Vol 485 ◽  
pp. 203-206
Author(s):  
Yun Jing Liu ◽  
Feng Wen Wang
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Pid Control ◽  
Pressure Control ◽  
Steam Pressure ◽  
System Response ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adaptive Fuzzy ◽  
Pressure Control System

Boiler steam pressure control system is important because of affecting the turbine speed directly. In engineering, the steam pressure control system is mostly dominated by traditional PID control. But the traditional PID control strategy can’t obtain satisfied control effects with the changing of the fuel and give-wind flow. The use of intelligent control strategy has been studied in recent years in order to improve steam pressure control. In this paper steam pressure control system with adaptive fuzzy PID control is presented, and the simulation results based on MATLAB show that the proposed algorithm can largely improve the system response performance compared to the traditional PID control.

Hydraulic Pressure Control System Simulation and Performance Test of Lower Extremity Exoskeleton

2012 ◽  
Vol 472-475 ◽  
pp. 2548-2553 ◽  
Author(s):  
Xing Xing Li ◽  
Qing Guo ◽  
Lu Lu Zhang ◽  
Hong Zhou ◽  
Xiang Gang Zhang
Keyword(s):  
Control System ◽  
Lower Extremity ◽  
Performance Test ◽  
Position Control ◽  
Control Method ◽  
Pressure Control ◽  
Frequency Domain Method ◽  
Hydraulic Pressure ◽  
Pressure Control System ◽  
And Performance

On basis of the introduction for the composition of carried-load assistance system and the control mechanism of hydraulic pressure valve for lower extremity exoskeleton, the position control loop is built. The control system is designed by frequency domain method using the PID parameters combined with lead correction network. Simulation results show that the control method can servo the angle of knee joint as human’s natural walk as well as the harmonious of man-machine moment. According to performance test of hydraulic pressure control system, the flow and pressure in piston is analyzed considering different load, the pressure of oil box and movable mode. Test results show that hydraulic pressure valve control system can realize efficiently slow walk carried 30 kilogram load, up and down stairs.

Sign in / Sign up

Export Citation Format

Share Document