caa a22 4500 475833945 CHVBK 20180406123849.0 cr unu---uuuuu 170329e20001001xx s 000 0 eng 10.1007/s005210070014 doi (NATIONALLICENCE)springer-10.1007/s005210070014 An Adaptive Neuro-Fuzzy Approach to Control a Distillation Column [Elektronische Daten] [J. Fernández de Cañete, T. Cordero, D. Guijas, J. Alarcon] In this paper we use a control strategy that enhances a fuzzy controller with self-learning capability for achieving the control of a binary methanol-propanol distillation column. An Adaptive-Network-based Fuzzy Inference System (ANFIS) architecture extended to cope with multivarible systems has been used. This allows the tuning of parameters both of the membership functions and the consequents in a Sugeno-type inference system. To satisfy the control objectives the backpropagation gradient descent through the plant method is applied, hence identification of the plant dynamics is also needed. The performance of the resulting neuro-fuzzy controller under different reference settings for the concentration of methoanol demonstrates the stabilisation of the concentration profiles in the column, leading to an effective methanol composition control.: Springer-Verlag London Limited, 2000 Keywords: Distillation column nationallicence Multivarible ANFIS nationallicence Neurofuzzy controller nationallicence Sugeno-type inference system nationallicence Fernández de Cañete J. Department of System Engineering and Automation, Campus de Teatinos, Malaga, Spain, ES aut Cordero T. Department of System Engineering and Automation, Campus de Teatinos, Malaga, Spain, ES aut Guijas D. Department of System Engineering and Automation, Campus de Teatinos, Malaga, Spain, ES aut Alarcon J. Department of System Engineering and Automation, Campus de Teatinos, Malaga, Spain, ES aut https://doi.org/10.1007/s005210070014 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s005210070014 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Fernández de Cañete J. Department of System Engineering and Automation, Campus de Teatinos, Malaga, Spain, ES aut NATIONALLICENCE 700 1- Cordero T. Department of System Engineering and Automation, Campus de Teatinos, Malaga, Spain, ES aut NATIONALLICENCE 700 1- Guijas D. Department of System Engineering and Automation, Campus de Teatinos, Malaga, Spain, ES aut NATIONALLICENCE 700 1- Alarcon J. Department of System Engineering and Automation, Campus de Teatinos, Malaga, Spain, ES aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer