Experimental investigations on fuzzy logic for process control

• Published in: Control engineering practice Vol. 15; no. 9; pp. 1149 - 1160
• Main Authors: Fileti, A.M.F., Antunes, A.J.B., Silva, F.V., Silveira, V., Pereira, J.A.F.R.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.09.2007; Elsevier
• Subjects: Applied sciences; Batch distillation; Chiller; Computer science; control theory; systems; Control theory. Systems; Exact sciences and technology; Fuzzy control; Polymerization; Process control. Computer integrated manufacturing; Refrigeration; Polymerization; Fuzzy control; Chiller; Refrigeration; Batch distillation; Distillation; Energy consumption; Process control; Control program; Fuzzy logic; Chemical reactor; Fuzzy algorithm; Experimental design; Batch process; Polymerization reactor; Logic control; Batch production; Temperature control; Distillation column; Differential integral proportional control
• ISSN: 0967-0661; 1873-6939
• DOI: 10.1016/j.conengprac.2007.01.009

The present work is concerned with the design and experimental testing of fuzzy algorithms for the on-line control of a few processes: temperature of a methyl methacrylate batch polymerization reactor, evaporating and condensing temperatures of a refrigeration system and the overhead composition of a batch distillation column. PID-fuzzy algorithms were developed and compared to conventional PID controllers, proving to be more suitable and reliable for the polymerization process. For the batch distillation column, fuzzy control reduced the batch time and the energy consumption. The PID-fuzzy also outperformed the conventional PID in terms of energy savings for the refrigeration system.