Design of a Fuzzy Logic Controller (FLC) requires more design decisions than usual, for example rule base, inference engine, defuzzification, and data preand post processing. This project is a humble effort to implement an FLC using VHDL for motor control. There are three parts to fuzzy controller, the fuzzification of the inputs, the defuzzification of the outputs, and the rule base. The contr...

This article explores design and analysis of proportional integrator (PI) along with Fuzzy Logic controller (FLC) based Shunt active power line conditioners (APLC) for compensating reactive power and harmonic currents drawn by the load. The aim is to study different control strategies for real time compensating current harmonics at different power conditions. The compensation process is based o...

In this paper, using the linearized equations of an inverted pendulum, a fuzzy logic controller (FLC) is designed for stabilizing its motion. The complete closedloop control system is observed for its output response employing unit step input. Further, an approach is presented for analyzing the stability nature of fuzzy logic controller. For this, utilizing the output membership values obtained...

In this paper, a 2 DOF planar robot was controlled by Mamdani type-PD-Fuzzy Logic Controller (FLC) tuned with particle swarm algorithm (PSO). In a tuning process of PD-FLC, several trajectories were applied to the robot system. The parameters of fuzzy controller were updated based on squared mean error cost function. The PD-FLC tuned by PSO was tested with a different trajectory. The error of t...

The aim of this paper is that it shows the dynamics response of speed with design the fuzzy logic controller to control a speed of motor for keeping the motor speed to be constant when the load varies. In recent years, the field oriented control of induction motor drive is widely used in high performance drive system. It is due to its unique characteristics like high efficiency, good power fact...

A three-term (proportional plus integral plus derivative, PID) fuzzy logic controller (FLC) algorithm have been and continue to be a very active and fruitful research field since early pioneered work on fuzzy controller. In this study, we propose taxonomy of various methods to design three-term FLC. Two applications representing second-order systems and third-order systems were used to analyze ...

This paper presents an application of fuzzy c-means clustering to designing the fuzzy logic controller for the temperature control in electric ceramics kiln. This research aims to controlling the temperature in firing step of burning the ceramic products which were coated with black, intensely red and green chemical substances. The experimental results show that the fuzzy c-means clustering des...

Progress in aircraft designs heavily depend on Automatic Flight Control System (AFCS). In this work a fuzzy sliding mode controller is designed as a supervisory controller in aircraft pitch control systems and different control strategies to model a pitch controller based on design a pitch angle control in autopilot are invistigated. A performance evaluation based on time response specification...

The proposed Fuzzy Logic Controller (FLC) is a novel approach for dynamic buffer tuning at the user/server level. It eliminates buffer overflow by ensuring that the buffer length always cover the queue length adaptively. The FLC and the AQM (active queue management) mechanisms at the router/system level together form a unified solution to stifle TCP (Transmission Control Protocol) channel buffe...

The effect of intelligent semi-active thermal exchange-fuzzy controller in structural rehabilitation by attenuating seismic responses of structural systems is investigated. In the suggested control system, MR dampers and sensors are employed as a semi-active controller. Resultant control forces of MR damper are administrated by providing external voltage supply, during the earthquakes and high ...