scholarly journals Improved Steady Error of an Electro-Hydraulic Servo System with a Dead Zone and Identification of the Element Time Constants.

1994 ◽  
Vol 25 (4) ◽  
pp. 549-555
Author(s):  
Shizurou KONAMI ◽  
Takao NISHIUMI ◽  
Kuniyuki YONEMOTO
Keyword(s):  
Dead Zone ◽  
Servo System ◽  
Time Constants ◽  
Hydraulic Servo ◽  
Hydraulic Servo System

Parameter Identification for Nonlinear Electro-Hydraulic Servo System Based on Multi-Particle Swarm Optimization

2013 ◽  
Vol 325-326 ◽  
pp. 1245-1248 ◽  
Author(s):  
Hong Quan Ming ◽  
Lei Luo ◽  
Zheng Ming Wang ◽  
Ying Jiang
Keyword(s):  
Particle Swarm Optimization ◽  
Parameter Identification ◽  
Steam Turbine ◽  
Dead Zone ◽  
Particle Swarm ◽  
Servo System ◽  
Identification Algorithm ◽  
Swarm Optimization ◽  
Hydraulic Servo ◽  
Hydraulic Servo System

In the electro-hydraulic servo system for steam turbine, there are many components with nonlinear behaviors. It is difficult to identify these nonlinear parameters with regular identification methods. Particle swarm optimization (PSO) is a relatively new optimization algorithm which has been applied to a variety of problems. However, it may easily get trapped in local optima when solving complex problems. In this study, a nonlinear model including dead zone is established first and a multi-particle swarm optimization (MPSO) method based on double-layer evolution is studied in detail. Then the parameter identification with this optimization method for the electro-hydraulic servo system of steam turbine are discussed in the paper. Moreover, numerical simulation demonstrates that the accuracy of the proposed parameter identification algorithm can be guaranteed.

Study of Hydraulic Servo System Based on Fuzzy Sliding Mode Algorithm

2013 ◽  
Vol 753-755 ◽  
pp. 2674-2678
Author(s):  
Kun Yang ◽  
Cai Jun Liu ◽  
Shu Min Liu
Keyword(s):  
Control Algorithm ◽  
Sliding Mode ◽  
Servo System ◽  
Time Varying ◽  
External Interference ◽  
System A ◽  
Hydraulic Servo ◽  
Fuzzy Sliding Mode ◽  
Hydraulic Servo System ◽  
Position Servo

Based on the situation that the hydraulic position servo system is easily influenced by the external interference and the parameters of which are different with time-varying, the fuzzy control can soften the buffeting and the sliding algorithm has no the same problems as the hydraulic position servo system, a brandly-new fuzzy sliding control algorithm is designed. In the simulation process, within the parameters of simulated time-varying and outside strong interference, the results show that the hydraulic servo system based on fuzzy sliding mode control algorithm has a greater resistance to internal and external interference and time-varying parameters.

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.

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