scholarly journals AN ADAPTIVE PRESSURE CONTROLLER DESIGN OF HYDRAULIC SERVO SYSTEM WITH DEAD ZONE

2005 ◽  
Vol 2005 (6) ◽  
pp. 161-166
Author(s):  
Kazuhisa ITO
Keyword(s):  
Controller Design ◽  
Dead Zone ◽  
Servo System ◽  
Hydraulic Servo ◽  
Hydraulic Servo System ◽  
Pressure Controller

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.

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.

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