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Information Sciences Letters

Information Sciences Letters

Abstract

Both the Intelligent Fuzzy Controller and Suram Fuzzy Rule are using a look-up table such as defuzzification analysis, which is based on weather variables, namely ambient temperature and ambient humidity for a drying process. State variable membership functions are expressed in terms of error values and error changes with typical triangular maps and trapezoidal maps. An Intelligent fuzzy controller is a hybrid controller which consists of an optimal fuzzy controller, fuzzy controller, and adaptive fuzzy controller. Membership function design is used to build the algorithm process. The algorithm process was developed based on the input-output knowledge pair for the drying process. The membership function must be stable and flexible with respect to weather and performance derived from the acquisition process, time constants, and system delays. The developed control system involves temperature control in different zones and ambient humidity. The system model was developed using a system identification scheme based on online input/output data and knowledge gathered through extensive testing. The knowledge base of fuzzy tuners is derived from drying schedules for certain wood specimens. The intelligent fuzzy control algorithm is used for scheduling the controller on various drying schedules. The results show that the proposed approach to overall control has great potential for performance improvement when applied to other industrial kilns. An intelligent fuzzy controller is also implemented, and its performance is compared with conventional controllers, it is more smooth, robust and controllable. On the other hand, the Suram fuzzy rule is an algorithm developed to control a drying system using diesel as an energy source by modifying the value of the fuzzy membership function [0.5,1]; and has been developed taking into account the wind speed in the drying process. The comparison results show that the Fuzzy Rule Suram is more efficient than the Intelligent Fuzzy Controller in terms of the use of electrical energy, by maximizing the use of solar energy.

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