Keywords: DC-DC buck converter, Fast transient response, Fuzzy logic controller (FLC). A new low output voltage and fast transient response dc-dc converter is designed in order to feed devices such as microprocessors and DSPs. It is a fast response DC-DC buck converter (FRBC) comprising of two buck converters connected in shunt and controlled by Fuzzy logic controller. First the Linear Control ...

This paper proposes to control the speed of the permanent magnet (PM) DC motor drive using fuzzy logic control (FLC) based on Matlab simulation environment. The proposed speed controller is developed based on fuzzy logic, to minimize maximum overshoot and steady state error. A comparison study and analysis of proposed fuzzy logic control to classical PID control system applied to PM DC motor is...

Area optimization is one of the important problems in reconfigurable systems. A Field-programmable gate array (FPGA) based optimised Fuzzy Logic Controller(FLC) has been developed for speed control of DC Motor by exploiting the basic features of Fuzzy logic. The aim of the proposed scheme is to reduce the area, as compared with conventional Fuzzy Logic Controller. The area of a design refers to...

AbstractIn modern power system, Static Compensator (STATCOM) is used to alleviate the transient stability problem and damping power system oscillations. In this paper different STATCOM control scheme using fuzzy logic controller (FLC) and model predictive controller (MPC) for the Single Machine Infinite Bus (SMIB) system in improving transient stability is simulated using MATLAB/ Simulink in po...

In this study, control performance of a smart base isolation system consisting of a friction pendulum system (FPS) and a magnetorheological (MR) damper has been investigated. A fuzzy logic controller (FLC) is used to modulate the MR damper so as to minimize structural acceleration while maintaining acceptable base displacement levels. To this end, a multi-objective optimization scheme is used t...

Based on the similarity between prevalent fuzzy logic controllers (FLC) and the conventional robust controller, i.e., the variable structure controller, control theoretic analysis of a fuzzy control system is presented in the sense of Lyapunov. As well as the robustness of the fuzzy control system against uncertainties of a controlled process, this analysis gives an account of the relationship ...

A comparative study on performance in terms of transient time response specifications for position control of a separately excited DC Servomotor using Fuzzy logic control on PD strategy and general PD control strategy is done. Fuzzy Logic Controller (FLC) based on PD strategy is designed for both the inference mechanismsMamdani type and Takagi-Sugeno type. Robustness test for both the controlle...

In recent years, soft computing methods have generated a large research interest. The synthesis of the fuzzy logic and the evolutionary algorithms is one of these methods. A particular evolutionary algorithm (EA) is differential evolution (DE). As for any EA, DE algorithm also requires parameters tuning to achieve desirable performance. In this paper tuning the perturbation factor vector of DE ...

An on line Fuzzy Logic Controller (FLC) realization with Genetic Algorithm (GA) optimization for Automatic Generation Control (AGC) system is developed. By rearranging the multi area AGC system into integration of the SISO cascade loops, the simple FLC Decision Table algorithm could be used in the complex AGC system. This Decision Table looking up algorithm for FLC with GA optimization is suita...

New trends and the effect of key factors influence the quality of the holes produced by ECM processes. Researchers developed a fuzzy logic controller by adding intelligence to the ECM process. Maintaining optimum ECM process conditions ensures higher machining efficiency and performance. This paper presents the development of a fuzzy logic controller to add intelligence to the ECM process. An e...