文献类型：期刊文献

中文题名：4-CBA Soft Sensor Based on Fuzzy CMAC Neural Networks

英文题名：4-CBA soft sensor based on fuzzy CMAC neural networks

作者：Du, Wenli[1]; Qian, Feng[1]; Liu, Mandan[1]; Zhang, Kai[1]

机构：[1]E China Univ Chem Technol, Automat Inst, Shanghai 200237, Peoples R China

年份：2005

卷号：13

期号：3

起止页码：437

中文期刊名：Chinese Journal of Chemical Engineering

外文期刊名：CHINESE JOURNAL OF CHEMICAL ENGINEERING

收录：CSTPCD;;EI(收录号：2005339304727);Scopus;WOS:【SCI-EXPANDED(收录号:WOS:000230419700026)】；CSCD:【CSCD2011_2012】；

基金：Supported by the special Funds for Major State Basic Research Program of China (973 Program) (No. 2002CB312200) the 863 Hi-Tech. Research and Development Program of China (No. 2001AA413130, No.2002AA412110)the Key Technologies R&D Programme of China (No. 2001BA201A04).

语种：英文

中文关键词：fuzzy CMAC networks; 4-carboxybenzaldehyde (4-CBA); purified terephthalic acid plant; soft sensor

外文关键词：fuzzy CMAC networks; 4-carboxybenzaldehyde (4-CBA); purified terephthalic acid plant; soft sensor

摘要：Soft sensor is attractive in dealing with online product quality measurement by virtue of other easily measured variables. In AMOCO PTA (purified terephthalic acid) production process, the unavailability of real-time measurement of 4-CBA makes it impossible for timely adjustment and thereby influences the product quality and the plant economy benefit. In this paper, a kind of FCMAC (fuzzy cerebellar model articulation controller) method is presented to solve the online measurement problem. Different from the conventional CMAC (cerebellar model articulation controller) networks, which has inferior smoothing ability because of its table look-up based technology. Integrating fuzzy model into CMAC networks, it becomes more accurate in functional mapping without weakening its generalization ability. Numerical example and industrial application results show the method proposed here is satisfactory and feasible.
Soft sensor is attractive in dealing with online product quality measurement by virtue of other easily measured variables. In AMOCO PTA (purified terephthalic acid) production process, the unavailability of real-time measurement of 4-CBA makes it impossible for timely adjustment and thereby influences the product quality and the plant economy benefit. In this paper, a kind of FCMAC (fuzzy cerebellar model articulation controller) method is presented to solve the online measurement problem. Different from the conventional CMAC (cerebellar model articulation controller) networks, which has inferior smoothing ability because of its table look-up based technology. Integrating fuzzy model into CMAC networks, it becomes more accurate in functional mapping without weakening its generalization ability. Numerical example and industrial application results show the method proposed here is satisfactory and feasible.