A new scheme for the electro-hydraulic servo system control of electrodes in an electric arc furnace

Fluid Power ◽  
1993 ◽  
pp. 454-459
2013 ◽  
Vol 336-338 ◽  
pp. 581-584 ◽  
Author(s):  
Ye Lv ◽  
Jing Ma ◽  
De Cun He ◽  
Xiang Gao

The electro-hydraulic servo system gradually processes toward the fast, high-power and high-precision direction. The traditional PID control needs to coordinate the contradiction between rapidity and stability, and cannot meet the system performance requirements in the case of parameter variations and external interference. Based on electro-hydraulic servo system structure and principles, system mathematical model was established, and Diagonal Recurrent Neural Network (DRNN)-based adaptive PID controller was designed and compared with positional PID control. The simulation results show that: DRNN adaptive PID control effect is superior to positional PID control, which can effectively improve the system dynamic and anti-interference performance, and has strong self-learning and adaptive capacity.


2013 ◽  
Vol 385-386 ◽  
pp. 823-826
Author(s):  
Yu Qin Wang ◽  
Quan Sheng Jiang ◽  
Han Sheng Yang

In order to improve ride comfort and reduce the sense of frustration generated by the car when shifting, H robust control algorithm is proposed to optimize the design of CVT electro-hydraulic servo system. The CVT electro-hydraulic servo system is optimized by the development of system control model and the design of H∞ robust controller. The simulation result indicates that the systems uncertainties can be optimized effectively by the H∞ controller, while the systems anti-interference ability and robustness is improved obviously.


Author(s):  
J. R. Porter ◽  
J. I. Goldstein ◽  
D. B. Williams

Alloy scrap metal is increasingly being used in electric arc furnace (EAF) steelmaking and the alloying elements are also found in the resulting dust. A comprehensive characterization program of EAF dust has been undertaken in collaboration with the steel industry and AISI. Samples have been collected from the furnaces of 28 steel companies representing the broad spectrum of industry practice. The program aims to develop an understanding of the mechanisms of formation so that procedures to recover residual elements or recycle the dust can be established. The multi-phase, multi-component dust particles are amenable to individual particle analysis using modern analytical electron microscopy (AEM) methods.Particles are ultrasonically dispersed and subsequently supported on carbon coated formvar films on berylium grids for microscopy. The specimens require careful treatment to prevent agglomeration during preparation which occurs as a result of the combined effects of the fine particle size and particle magnetism. A number of approaches to inhibit agglomeration are currently being evaluated including dispersal in easily sublimable organic solids and size fractioning by centrifugation.


2016 ◽  
Vol 104 (1) ◽  
pp. 102 ◽  
Author(s):  
Valentina Colla ◽  
Filippo Cirilli ◽  
Bernd Kleimt ◽  
Inigo Unamuno ◽  
Silvia Tosato ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document