Fluidized bed paddy drying in optimal conditions via adaptive fuzzy logic control

Atthajariyakul, Surat; Leephakpreeda, Thananchai

doi:10.1016/j.jfoodeng.2005.03.055

Cited by 58 publications

(18 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…where X e represents the equilibrium moisture, which is a function of inlet air temperature and inlet air relative humidity as follows (Atthajariyakul and Leephakpreeda, 2006):…”

Section: Drying Kineticsmentioning

confidence: 99%

Sequential modeling of fluidized bed paddy dryer

Bizmark

Mostoufi

Sotudeh‐Gharebagh

et al. 2010

Journal of Food Engineering

View full text Add to dashboard Cite

“…where X e represents the equilibrium moisture, which is a function of inlet air temperature and inlet air relative humidity as follows (Atthajariyakul and Leephakpreeda, 2006):…”

Section: Drying Kineticsmentioning

confidence: 99%

Sequential modeling of fluidized bed paddy dryer

Bizmark

Mostoufi

Sotudeh‐Gharebagh

et al. 2010

Journal of Food Engineering

View full text Add to dashboard Cite

“…It is often harvested at high moisture content ranging from 25% to 40% dry basis [2], which renders the grains very susceptible to attack by micro-organisms, insects, and pests. Newly harvested grain with high moisture content must therefore be dried within 24 h to about l4% for safe storage.…”

Section: Drying Methodsmentioning

confidence: 99%

Control vector optimization and genetic algorithms for mixed-integer dynamic optimization in the synthesis of rice drying processes

Wongrat

Younes

Elkamel

et al. 2011

Journal of the Franklin Institute

View full text Add to dashboard Cite

“…Atthajariyakul and Leephakpreeda [21] determined the optimal drying conditions of rice in a fluidized bed, using a fuzzy logic control system, achieving a high quality substrate and an efficient energy consumption. Alvarez [22] applied a fuzzy logic system to drying of tobacco leaves, with good results.…”

Section: Fuzzy Logicmentioning

confidence: 99%

Dehydration of Agro Products in a Hybrid Solar Dryer Controlled through a Fuzzy Logic System

Reyes¹,

Cubillos²,

Mahn³

et al. 2014

IJMNTA

View full text Add to dashboard Cite

Drying is one of the most energy-intensive processes in agro-products industry. For this reason, using solar energy appears as an attractive not polluting alternative to be used in drying processes. However, the daily and seasonal fluctuations in the radiation level require using energy accumulators with phase change materials (paraffin wax), to have a continuous drying processes. In hybrid solar dryers with energy accumulation system, a control system is essential to coordinate the control valves that allow the income of air that comes from the solar panel or from the energy accumulator. In this work, we implemented an advances multivariable control system that uses fuzzy logic in the hybrid solar dryer. The dryer includes an energy accumulator panel with paraffin wax as phase change material. The input variables were ambient temperature and solar radiation, both not controllable. The controlled variables were the opening level of the solar panel and accumulator energy valves. The control program consisted in an algorithm implemented with the "Fuzzy" toolbox in Matlab. Data were acquired with OPTO 22. The control system performed adequately when used to dehydrate mushroom slices and plums. Closing or opening the respective valves as a response to the variations of solar radiation and ambient air temperature allowed optimizing the use of solar energy.

show abstract

Fluidized bed paddy drying in optimal conditions via adaptive fuzzy logic control

Cited by 58 publications

References 7 publications

Sequential modeling of fluidized bed paddy dryer

Sequential modeling of fluidized bed paddy dryer

Control vector optimization and genetic algorithms for mixed-integer dynamic optimization in the synthesis of rice drying processes

Dehydration of Agro Products in a Hybrid Solar Dryer Controlled through a Fuzzy Logic System

Contact Info

Product

Resources

About