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This work has been carried out to develop ANFIS models for the reactive distillation process used for the production of isopropyl alcohol from the hydration reaction of propylene. The data used for the development of the models were generated from the Aspen HYSYS system of the process that comprised two feed streams-the upper feed stream from where the less(More)
In this study, the growth medium temperature in a batch bioreactor was controlled at the set point by using fuzzy model-based control method. Fuzzy control parameters which are membership functions and relation matrix were found using genetic algorithm. Heat input given from the immersed heater and the cooling water flow rate were selected as the(More)
A detailed system identification procedure and self-tuning generalized minimum variance (STGMV) control of glucose concentration during the aerobic fed-batch yeast growth were realized. In order to determine the best values of the forgetting factor (λ), initial value of the covariance matrix (α), and order of the Auto-Regressive Moving Average with(More)
Conventional controller design methods produce constant coefficient algorithms based upon an assumed linear time-invariant system. The basis of a self-tuning system is an algorithm that will automatically change its parameters to meet a particular requirement or situation. This is achieved by the addition of a mechanism which monitors the system and adjusts(More)
This paper presents an experimental application of AHCC to study the coagulation process of wastewater treatment in a dye plant. Also this study includes a series of tests in which an AHCC control was used for pH control. The performance results of the AHCC controller are compared with the results obtained by using a conventional(More)
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