Design of an Intelligent Control System for Conveyor-Belt Grain Dryers Год выпуска: 2012Автор: Omar F. Lutfy,Samsul Bahari B. M. Noor and Mohammad H. MarhabanИздательство: LAP Lambert Academic PublishingСтраниц: 244ISBN: 9783846584941Описание 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...
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Юлия, 03.03 Добрый день, Юля! Я сегодня защитила диплом на отлично :-) Хотела сказать Вам ОГРОМНОЕ спасибо за помощь! Вы мне помогали с написанием курсовых работ на протяжении всего срока моего обучения. Без Вашего участия мне было бы в сто раз труднее, ведь я работаю и времени на написание курсовых и диплома всегда катастрофически не хватало. Так что в том, что я закончила этот университет есть большая доля и вашего участия. Ещё раз огромное Вам за это спасибо! Будьте счастливы и удачи Вам! При случае, буду рекомендовать Вас своим знакомым, кому понадобятся подобные услуги ;-)
