A case study on continuous process control based on fuzzy logic and supported by expert knowledge is proposed. The aim is to control the coal-grinding operations in a cement manufacturing plant. Fuzzy logic is based on linguistic variables that emulate human judgment and can solve complex modeling problems subject to uncertainty or incomplete information. Fuzzy controllers can handle control problems when an accurate model of the process is unavailable, ill-defined, or subject to excessive parameter variations. The system implementation resulted in productivity gains and energy consumption reductions of 3% and 5% respectively, in line with the literature related to similar applications.
A Fuzzy Logic Control application to the Cement Industry / Sellitto, M. A.; Balugani, Elia; Gamberini, R.; Rimini, B.. - 51:11(2018), pp. 1542-1547. (Intervento presentato al convegno 16th IFAC Symposium on Information Control Problems in Manufacturing (INCOM) tenutosi a Bergamo, Italt nel 11-13 June 2018) [10.1016/j.ifacol.2018.08.277].
A Fuzzy Logic Control application to the Cement Industry
BALUGANI, ELIA;Gamberini R.;Rimini B.
2018
Abstract
A case study on continuous process control based on fuzzy logic and supported by expert knowledge is proposed. The aim is to control the coal-grinding operations in a cement manufacturing plant. Fuzzy logic is based on linguistic variables that emulate human judgment and can solve complex modeling problems subject to uncertainty or incomplete information. Fuzzy controllers can handle control problems when an accurate model of the process is unavailable, ill-defined, or subject to excessive parameter variations. The system implementation resulted in productivity gains and energy consumption reductions of 3% and 5% respectively, in line with the literature related to similar applications.
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