Design of an Intelligent Control System for Conveyor-Belt Grain Dryers: An Application of Soft Computing Techniques in Grain Drying Systems okumak kayıt olmadan

Design of an Intelligent Control System for Conveyor-Belt Grain Dryers: An Application of Soft Computing Techniques in Grain Drying Systems

Ders Kitapları

The major objective of this research is to improve the performance of conveyor-belt grain dryers by designing an intelligent control system utilizing the capabilities of the adaptive neuro-fuzzy inference system (ANFIS) to model and control the drying process. To achieve this objective, a laboratory-scale conveyor-belt grain dryer was specifically fabricated for this study. As the main controller in this work, a simplified ANFIS structure is proposed to act as a proportional-integral-derivative (PID)-like feedback controller to control nonlinear systems. This controller has several advantages over its conventional ANFIS counterpart, particularly the reduction in processing time. Moreover, three evolutionary algorithms (EAs), in particular a real-coded genetic algorithm (GA), a particle swarm optimization (PSO), and a global-best harmony search (GHS), were separately used to train the proposed controller and to determine its scaling factors. The simplified ANFIS controller was then applied to control the developed ANFIS-based dryer model. From all the simulation tests, the simplified ANFIS controller has proved its remarkable ability in controlling the grain drying process.

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18,9 x 0,3 x 24,6 cm 18,9 x 0,6 x 24,6 cm 28 Ekim 2011 1 Ocak 2017 Additional Contributors WADE H MCCREE 18,9 x 0,4 x 24,6 cm 15 x 0,5 x 22 cm 3 Ocak 2017 28 Şubat 2018 Mdpi AG 29 Ekim 2011 ERWIN N GRISWOLD 18,9 x 0,5 x 24,6 cm 18,9 x 0,2 x 24,6 cm ROBERT H BORK 30 Ekim 2011 Kolektif

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