Mathematical Modeling and Simulation of Hydraulic Gauge Control System

Authors

Weigang Li, 1. School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China; ;2. Metallurgical Automation and Detection Technology ERC of Education Ministry, Wuhan University of Science and Technology,Wuhan 430081,China; 3.Equipment Maintenance Plant, WISCO, Wuhan 430080, China;
Guilin Tao

Abstract

Abstract: On the basis of hydraulic valve control cylinder model and combining with the structure and load characteristics of the hydraulic gauge control system (HGC), a “flow linearization” model for HGC was presented and the shortcomings of the model in analyzing the dynamic characteristics of HGC were pointed out. In view of the characteristics of the large load variation range of HGC and according to the principle of “load compensation”, the flow correction coefficient and the related transfer function were analyzed and deduced, and the mathematical model of HGC based on “load compensation” was established. Combined with a practical case of rolling mill in a hot rolling plant, the characteristic and difference of the two models were simulated and compared with the experimental results. The simulation results show that the “load compensation” model has higher control precision, which provides a reference for the characteristic analysis and design optimization of the hydraulic gap valve controlled cylinder system.

Recommended Citation

Li, Weigang and Tao, Guilin (2019) "Mathematical Modeling and Simulation of Hydraulic Gauge Control System," Journal of System Simulation: Vol. 30: Iss. 10, Article 24.
DOI: 10.16182/j.issn1004731x.joss.201810024
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss10/24

First Page

3789

Revised Date

2016-11-23

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201810024

Last Page

3795

CLC

TP391.9

Recommended Citation

Li Weigang, Tao Guilin. Mathematical Modeling and Simulation of Hydraulic Gauge Control System[J]. Journal of System Simulation, 2018, 30(10): 3789-3795.

DOI

10.16182/j.issn1004731x.joss.201810024