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Control of the complex nonlinear post-harvest storage process is essential to guarantee food security. Intelligent means of control come very handy in handling nonlinear processes. In this research an optimal fuzzy logic controller (FLC) is developed and simulated in MATLAB, with a post harvest storage system model for temperature control of cylindrically shaped foods. Using performance indices such...
This paper develops a ANFIS controller design method for temperature control in plastic extrusion system. The plastic extrusion process control system uses first order transfer function. Plastic extrusion system is generally nonlinear and the temperature of the plastic extrusion system may vary over a wide range subjected to various disturbances. The plastic extrusion system compresses of couple effects,...
This paper proposes a kind of fuzzy logic control scheme according to the time-varying, lagging and nonlinear characteristics of temperature control and the proplem of more complicated control system. It includes the selection of control variables, the definitions of fuzzy sets, the division of domain levels, the choice of membership functions and setting the fuzzy logic control rules. MATLAB was...
This paper describes an intelligent the temperature control at a desired level in a refrigerator. The control works on the basis of modeling a thermostatic appliance and the use of fuzzy logic. A refrigeration system control device using fuzzy logic for controlling a plurality of refrigeration compressors such that the closest capacity is selected to match the load to each of a plurality of evaporators...
Controlling a temperature for a distillation system is not an easy task. The lag of this process is normally long. Over heating during the operation can cause quality degradation of the essential oil produced. The conventional method of controlling this kind of process is not capable of giving satisfactory result. In this paper the self tuning PID controller is developed to improvise the steam distillation...
In this work, relative humidity and temperature change are controlled which need to be controlled in indoor environment and simulation results are compared. Fuzzy Logic Control (FLC) and Fuzzy Logic Proportional-Integral Control (FLPIC) approaches are used as control methods. Because of allowing the analyze and performance improving studies are simulated in Matlab/Simulink software and performance...
In this paper a comparison is carried out in order between fuzzy logic controller and adaptive neuro-fuzzy controller. We make use of these two control systems to regulate the temperature of the water bath system. We see that the Fuzzy controller is designed to work with knowledge in the form of linguistic control rules. But the translation of these linguistic rules into the framework of fuzzy set...
This paper presents a control strategy suitable for hydrogen/air proton-exchange membrane fuel cells (PEMFCs), based on the process modeling using fuzzy logic. The control approach is tested using a PEMFC stack consisting of 32 cells with parallel channels. An optimal fuzzy-PI controller is designed to mainly control the hydrogen and air/oxygen mass flows, and auxiliary variables such as the temperature,...
In this paper we propose a controller architecture based on our adaptive network called Fuzzy Graphic Rule Network (FGRN). In FGRN, the THEN part membership function and defuzzification steps are combined together, as a result the overall structure becomes simple. Moreover the initial setting of FGRN's parameters can be selected based on expert knowledge. FGRN's parameters can be adjusted using a...
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