Design of a neural network controller for the electrode control system in the electric arc furnace

2017 ◽  
Vol 50 (3) ◽  
pp. 299-311
Author(s):  
Mina KOOCHAKI ◽  
Mehri LOFTI
Keyword(s):  
Neural Network ◽  
Control System ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Arc Furnace ◽  
Neural Network Controller ◽  
Network Controller

Research on Intelligent Variable Frequency of Air-Conditioner Control System Based on Fuzzy Control

2011 ◽  
Vol 110-116 ◽  
pp. 4076-4084
Author(s):  
Hai Cun Du
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Neural Network ◽  
Air Conditioner ◽  
Neural Network Controller ◽  
The Neural Network ◽  
Network Controller ◽  
Fuzzy Neural ◽  
Fuzzy Control Strategy

In this paper, we determine the fuzzy control strategy of inverter air conditioner, the fuzzy control model structure, the neural network and fuzzy control technology, structural design of the fuzzy neural network controller as well as the neural network predictor FNNC NNP. Simulation results show that the fuzzy neural network controller can control the accuracy greatly improved the compressor, and the control system has strong adaptability to achieve a truly intelligent; model of the controller design and implementation of technology are mainly from the practical point of view, which is practical and feasible.

Electric Arc Furnace Based on Fuzzy Neural Network Control System and MATLAB Simulation

2011 ◽  
Vol 48-49 ◽  
pp. 491-495 ◽  
Author(s):  
Qiang Li ◽  
Peng Hua Wu
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Network Control ◽  
Time Variability ◽  
Neural Network Control ◽  
Arc Furnace ◽  
Fuzzy Neural ◽  
Arc Current

EAF steelmaking is a complex physical and chemical reactions，has Highly nonlinearity, time variability and strong coupling. As the electrode's contact with the charging circuit, charging the collapse of the gasification furnace components and liquid metal boiling and other factors, often result in dramatic fluctuations in arc current. At this point we need to quickly adjust the location of electrodes, so that arc current stable base on this within a certain range. This article in the fuzzy control and neural network’s foundation,will study a kind based on three-phase consciousness electric arc furnace predictive control new method, Using the fuzzy neural network control adjusting electrode, further enhancing the effectiveness of electric arc furnace’synthesis movement.

Sign in / Sign up

Export Citation Format

Share Document