SUBMITTED BY
ACHYUTH KURELLA


ABSTRACT
Abstract- Basically, the motor drive system comprises a voltage source inverter-fed induction motor (VSIM): namely a three-phase voltage source inverter and the induction motor. The squirrel-cage induction motor voltage equations are based on an orthogonal d-q reference-rotating frame where the coordinates rotate with the controlled source frequency. The paper presents a novel fuzzy logic controller for high performance induction motor drive system. The inputs to the fuzz ....etc

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KEYWORDS
Fuzzy PID controllers, PID controllers, intelligent
hybrid controllers, simulation.
ABSTRACT
In this study, a design methodology is introduced that
blends the classical PID and the fuzzy controllers in an
intelligent way and thus a new intelligent hybrid
controller has been achieved. Basically, in this design
methodology, the classical PID and fuzzy controller
have been combined by a blending mechanism that
depends on a certain function of actuating error.
Moreover, an intelligent switching scheme is induced
....etc

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Data Link Antenna Control System Design Using A Fuzzy Controller


1. Introduction
The performance of stabilization and tracking system mainly depends on the servo control system that driving the antenna pedestal. However, the outdoor antenna servo system is subject to significant torque disturbances from wind pressures and gusts on the antenna structures, as well as bearing and aerodynamic frictions. This control system should provide a sharp directivity in spite of ....etc

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Abstract
The paper describes the Fuzzy–PID cascade controller to control the level of horizontal tank that has diameter 300 mm and 480 mm long. Interface card module PCI-6024E in computer and Lab View software program is used for built the cascade controller. Structure of its where the inner loop is a PID controller for regulating flow rate of system and outer loop is a Fuzzy logic controller for control the level. The response time, steady state error, load disturbance, and control valve action of cascade are tested and compared wit ....etc

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Abstract”

Because of the low maintenance and robustness induction motors have many applications in the industries. The speed control of induction motor is more important to achieve maximum torque and efficiency. Various speed control techniques like, Direct Torque Control, Sensorless Vector Control and Field Oriented Control are discussed in this paper. Soft computing technique “ Fuzzy logic is applied in this paper for the speed control of induction motor to achieve maximum torque with minimum loss. The fuzzy logic controller i ....etc

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Fuzzy Logic and Fuzzy Sets 


History


Lotfi Zadeh, at the University of California at Berkeley, first presented fuzzy logic in the mid-1960's.

Zadeh developed fuzzy logic as a way of processing data. Instead of requiring a data element to be either a member or non-member of a set, he introduced the idea of partial set membership.

In 1974 Mamdani and Assilian used fuzzy logic to regulate a steam engine.

In 1985 researchers at Bell laboratories ....etc

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i would like to have project report or some details regarding motor control using fuzzy logic or Matlab or pid.


Thank you ....etc

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plz plz i want report and ppt of this topic ....etc

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AUTOMATED CAR BRAKING SYSTEM USING FUZZY LOGIC CONTROLLER

ABSTRACT
This paper deals with a Fuzzy Logic Controller (FLC) for an automated car
braking system. The response of the system will be simulated by using Fuzzy Logic
Toolbox in MATLAB and PID controller. The purpose of this controller is to brake a
car when the car approaches for an obstacle at a specific range. For this, the Fuzzy
Logic Controller is design using the Fuzzy Logic Toolbox in MATLAB. The system
uses four rules and three membership function. The two pa ....etc

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Dynamic Fuzzy-Neural Network Controller
for Induction Motor Drive

M. Zerikat, M. Bendjebbar and N. Benouzza

Abstract
In this paper, a novel approach for robust trajectory tracking of induction motor drive is presented. By combining variable structure systems theory with fuzzy logic concept and neural network techniques, a new algorithm is developed. Fuzzy logic was used for the adaptation of the learning algorithm to improve the robustness of learning and operating of ....etc

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