In this paper we compare and discuss the performance of a boiler evaporator system when the system is controlled by a traditional PID-type strategy and when the system is enhanced by using fuzzy logic blocks to provide set-points for the system. The strategy used in fuzzy logic controllers (FLCs) is called fuzzy supervisory control and it generates set-points for the conventional controllers. T...

Defuzzifier circuit is one of the most important parts of fuzzy logic controllers that determine the output accuracy. The Center Of Gravity method (COG) is one of the most accurate methods that so far been presented for defuzzification. In this paper, a simple algorithm is presented to generate triangular output membership functions in the Mamdani method using the multiplier/divider circuit and...

The Interval Type-2 Fuzzy Logic Controller (IT2FLC) is an advanced version of Type-1 Fuzzy Logic Controller (T1FLC) that improves the control strategies by using the advantage of its footprint of uncertainty of the Fuzzy Membership Function (MF). Numerous experimental investigations have shown the superiority of IT2FLC over T1FLC, particularly in high level of uncertainties and nonlinearities. ...

The main asset of this paper is among the uses of fuzzy logic in the engineering sector and especially in the renewable energies as a large alternate of fossil energies, in this paper a PSO-based optimization is used to find the optimal scaling parameters, of a fuzzy logic-based MPPT controller, that maximize the efficiency of a photovoltaic pumping system. The tuning of input and output parame...

The aim of the temperature control is to heat the system up todelimitated temperature, afterwardhold it at that temperature in insured manner. Fuzzy Logic Controller (FLC) is best way in which this type of precision control can be accomplished by controller. During past twenty yearssignificant amount of research using fuzzy logichas done in this field of control of non-linear dynamical system. ...

In this paper, a new fuzzy logic controller—fuzzy logic constant controller (FLCC) is introduced to chaotic signals controlling. The main ideas of the FLCC are described as follows: (1) proving the two chaotic systems are going to achieve asymptotically stable via Lyapunov direct method; (2) via detecting the sign of the errors, the appropriate fuzzy logic control scheme is operated; (3) choosi...

A new optimum interval type-2 fuzzy fractional-order controller for a class of nonlinear systems with incipient actuator and system component faults is introduced in this study. The the (leak) are taken into account using an additive model. Interval Type-2 Fuzzy Sets (IT2FS) used to design optimal fractional order controller, two different nature inspired metaheuristic algorithms, Follower Poll...

The concept of the fuzzy logic makes feasible the creation of fuzzy controllers with low cost 16 bit microcontroller having the same performance as of controllers realized with more expensive Digital Signal Processor (DSP). In this article the implementation of such a fuzzy controller is proposed for 16 bit microcontroller with fast fuzzyficationinference-defuzzyfication algorithm. Because the ...