This paper deals with the design of fuzzy logic controller for dc – dc controllers. Fuzzy systems can be considered as a type of nonlinear function interpolator. The design of fuzzy controllers does not require an exact mathematical model. Instead they are designed based on general knowledge of the plant. Fuzzy logic controller (FLC) is cheaper to develop, they cover a wider range of operating ...

This paper describes a novel fuzzy logic controller for a three phase shunt active shunt filter for the power quality improvement. The Power Quality (PQ) problems in power distribution systems are not new but only recently the effects of these problems have gained public awareness. These non-linear loads are constructed by nonlinear devices in which the current is not proportional to the applie...

Fuzzy control is based on fuzzy logic, which provides a most efficient way to handle inexact information as a basis of reasoning. With fuzzy logic it is possible to convert knowledge, which is expressed in an uncertain form, to an exact and precise output for uncertain systems. In fuzzy control, the controller can be simply represented by if-then-else rules. The interpretation of the controller...

Because of the low maintenance and robustness induction motors have many applications in the industries. Most of these applications need fast and smart speed control system. This paper introduces a smart speed control system for induction motor using fuzzy Sliding mode controller. The fuzzy-logic with sliding mode speed controller is employed in the outer loop. The performance of Fuzzy Logic co...

This paper describes the design and development of a novel controller for a non-linear power electronic converter. Neuro-Fuzzy controller is proposed to improve the performance of the buck &boost converters. The duty cycle of the buck & boost converters are controlled by NeuroFuzzy controller. The conventional PI controllers for such converters, designed under the worst case condition of maximu...

In this paper, an adaptive neuro fuzzy interference (ANFIS) based hybrid field oriented speed controlling of an induction motor is proposed. The proposed hybrid field oriented speed controller results attractive performance of induction motor with the potential features of both Artificial Neural network (ANN) and Fuzzy Logic Controller (FLC). In this topology the Artificial Neural Network (ANN)...

This work addresses the control of load frequency where the chosen arena is the two area thermal-thermal power systems dealt under deregulated field. Tuning of the fuzzy logic controller is based on genetic algorithm. Graded AC tie-lines are used to relate the regions. Optimization of the scaling gains of the controller is the prime thing in bringing ideal tuning. The controller adopted in this...

Variable speed drives are nowadays growing and varying very fast. Drives expanse depends on progress in different part of science like power system, electronic, control methods and so on. Because the fuzzy logic techniques can be used to control any type of system. The mathematical background and initial assumptions on which the conventional method relies on. On the other hand the fuzzy control...

An evolutionary fuzzy controller that drives the output parameters of fuzzy logic system in such a way that the Lyapunov function and the system is exponentially stable is presented. The output parameters of the fuzzy logic system are updated for every sampling time in an evolutionary manner. Only part of the parameters associated with the current situation are considered and, thus, the present...

The subject of the study is design of multi-valued (analog) CMOS fuzzy controllers. A functional completeness of summing amplifier with saturation in a multivalued logic of an arbitrary value proven in previous works gives a theoretical background for analog implementation of fuzzy devices. Compared with the traditional approach based on explicit fuzzification / defuzzification procedures analo...