A Decoupling Control Method of Ceramic Roller Kiln Temperature Based on Thermal Balance

Author(s):  
Chen Jing ◽  
Luo Aijun ◽  
Yuan Youxin ◽  
Xiao Chun ◽  
Wu Xue ◽  
...  
2013 ◽  
Vol 437 ◽  
pp. 597-601
Author(s):  
Ai Jun Luo ◽  
Jing Chen ◽  
Feng He ◽  
Jin Wen

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.


2011 ◽  
Vol 219-220 ◽  
pp. 1423-1426
Author(s):  
He Huang ◽  
Xi Shen Chen ◽  
Hong Lei ◽  
Zhuo Qiu Li ◽  
Wu Gang Li

The relationship between ceramic roller kiln simulation model building parameters and temperature field uniformity is extremely difficult work. In this paper, DEPSO-CFD, a system integrated of an algorithm of hybrid particle swarm (PSO) with Differential Evolution (DE) operator, termed DEPSO, and computational fluid dynamics (CFD), is proposed to meet the demand. And with the help of the efficient parallel calculation, the ceramic roller kiln temperature field uniformity is mainly researched by using Fluent and DEPSO algorithm. It proves that the system is of high speed and of excellent parameter exploration capability, and the final computational example is got; thus parallel-DEPSO-CFD is of great academic value and significant applicable value.


2012 ◽  
Vol 150 ◽  
pp. 30-35
Author(s):  
Ze Bin Yang ◽  
Huang Qiu Zhu ◽  
Xiao Dong Sun ◽  
Tao Zhang

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.


2013 ◽  
Vol 385-386 ◽  
pp. 848-851 ◽  
Author(s):  
Li Zhang ◽  
Song Wang ◽  
Guo Jun Su

For the non-linearity, large time lag characters of rotary kiln, we use intelligent predictive control method to control it. The prediction model, scrolling optimization and feedback adjustment are ultimate constituted the predictive control system each part. Gas flow measurement is used to realize rotary kiln`s temperature predictive control,and took NN-Model as prediction model to realize the intelligent forecast. The results of simulation show that this method has better stability and robustness than the traditional control method.


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