Research on temperature-pressure decoupling control method of the oxygenenriched ceramic roller KILN

2012 ◽  
Author(s):  
B.P. Mao ◽  
J. Chen ◽  
F. Chen ◽  
A.J. Luo
Keyword(s):  
Control Method ◽  
Decoupling Control ◽  
Roller Kiln ◽  
Ceramic Roller

Research on the Oxygen-Enriched Combustion Technology Used for Ceramic Roller Kiln

2013 ◽  
Vol 437 ◽  
pp. 597-601
Author(s):  
Ai Jun Luo ◽  
Jing Chen ◽  
Feng He ◽  
Jin Wen
Keyword(s):  
Control Method ◽  
High Energy ◽  
Firing Process ◽  
Combustion Control ◽  
Complete Combustion ◽  
Roller Kiln ◽  
Ceramic Roller ◽  
Combustion Technology ◽  
High Emission ◽  
Combustion Experiment

For the presence of high energy consumption and high emission in ceramic production, combining with the energy-saving and emission reduction targets of the National Twelfth Five-Year Plan, the advantages of oxygen-enriched combustion relative to normal combustion are analyzed. Concerning the new scheme of the internal burner distribution and new requirements made by combustion control method, the application of oxygen-enriched combustion technology in ceramic roller kiln is studied. The architecture and internal burner distribution scheme of ceramic roller kiln are improved in this study, and a novel combustion control method for oxygen-enriched combustion is used in the combustion experiment. Experimental results show that, with oxygen-enriched combustion, it can achieve complete combustion of the fuel, the flame characteristics conform the firing process requirements, and reduction of NOx emissions with proper O2 concentration.

Decoupling Control for Bearingless Synchronous Reluctance Motor Based on Neural Networks Inverse

2012 ◽  
Vol 150 ◽  
pp. 30-35
Author(s):  
Ze Bin Yang ◽  
Huang Qiu Zhu ◽  
Xiao Dong Sun ◽  
Tao Zhang
Keyword(s):  
Neural Networks ◽  
Control Method ◽  
Decoupling Control ◽  
Performance Simulation ◽  
Inverse Control ◽  
Linear Control Theory ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Static Performance ◽  
Simulation And Experiment

A novel decoupling control method based on neural networks inverse system is presented in this paper for a bearingless synchronous reluctance motor (BSRM) possessing the characteristics of multi-input-multi-output, nonlinearity, and strong coupling. The dynamic mathematical models are built, which are verified to be invertible. A controller based on neural network inverse is designed, which decouples the original nonlinear system to two linear position subsystems and an angular velocity subsystem. Furthermore, the linear control theory is applied to closed-loop synthesis to meet the desired performance. Simulation and experiment results show that the presented neural networks inverse control strategy can realize the dynamic decoupling of BSRM, and that the control system has fine dynamic and static performance.

Using DCS to Realize Ball Mill Fuzzy Control System

2014 ◽  
Vol 568-570 ◽  
pp. 1131-1134
Author(s):  
Yan Jun Wang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Ball Mill ◽  
Control Method ◽  
Good Control ◽  
Pi Controller ◽  
Decoupling Control ◽  
Control Effect ◽  
Hot Air ◽  
Look Up Table

By way of summarizes operation experience, using fuzzy control method to realize the decoupling control of coal mill cold air damper, hot air damper and coal feeder, by using cascade control of fuzzy control look up table and PI controller in DCS, it’s convenient to realized the automatic control of ball mill. Practice proves that this method is easy to achieve and good control effect could be achieved.

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