Affiliation:
1. Jingdezhen Ceramic Institue
2. Tianjin University of Commerce
Abstract
This paper applies multi-sensor information fusion technology to intelligent control system of ceramic kiln and proposes a corresponding control scheme. The control scheme is composed of six-layer structures which include four subsystems. Then, compositions, functions and adoptive algorithms of the four subsystems are analyzed. In the end, the whole system control scheme and its work process are analyzed.
Publisher
Trans Tech Publications, Ltd.
Reference8 articles.
1. L. K. Zeng, M. Zhang, and H. Y. He: Ceramic Kiln Control and Artificial Neural Network, China Ceramics,Vol. 36(2000), pp.33-36.
2. J. X. Fang, H. F. Talor, H. S. Choi: Fiber-optic fabry-perot flow sensor, Microwave and Optical Technology Letters, Vol. 18(1998), p: 209-211.
3. D. Baskent, and B. Barshen: Surface profile determination from multi-sensor data using morphological processing, The International Journal of Robotics Research. Vol. 18 (1999) , p: 788-808.
4. G. Kinoshita, Y. Ikhsan, and Y. Osumi: Object location based on sensor fusion of vision and tactual sensing, Advanced Robotics, Vol. 13(2000), p: 633-646.
5. Y. N. Wang, and S. T. Li: Multi-sensor information fusion and its application review, Control & Decision(China), Vol. 16(2001): 518-522.