Title :
The Predictive Control of Sintering Temperature in Rotary Kiln Based on Image Feedback and Soft Computing
Author :
Zhang, Xiaogang ; Chen, Hua ; Zhang, Jing
Author_Institution :
Hunan Univ., Changsha
Abstract :
The sintering temperature in rotary kiln is measured through image processing algorithm as feedback of its predictive control. The predictive model based on radial basis function (RBF) network is designed by the image and other process data optimized by genetic algorithm. The final results of application at an alumina sintering kiln show that this intelligent predictive control strategy can achieve higher stability in normal condition.
Keywords :
genetic algorithms; image processing; kilns; neurocontrollers; predictive control; production engineering computing; radial basis function networks; sintering; stability; temperature control; alumina sintering kiln; genetic algorithm; image feedback; image processing algorithm; intelligent predictive control strategy; radial basis function network; rotary kiln; sintering temperature; soft computing; stability; Algorithm design and analysis; Design optimization; Feedback; Genetic algorithms; Image processing; Intelligent control; Kilns; Predictive control; Predictive models; Stability; control; genetic algorithm; image processing; neural network.; predictive control; process; rotary kiln;
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
DOI :
10.1109/ICNC.2007.734
