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[PDF] Top 20 Fuzzy Adaptive Model Following Speed Control for Vector Controlled Permanent Magnet Synchronous Motor

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Fuzzy Adaptive Model Following Speed Control for Vector Controlled Permanent Magnet Synchronous Motor

Fuzzy Adaptive Model Following Speed Control for Vector Controlled Permanent Magnet Synchronous Motor

... electronics control, rare earth magnetic materials and motor design, PMSM get wide applications in many control systems ...the control system is usually less complex then that of field ... See full document

15

Comparative Study between PI and FUZZY Logic Speed  Controller in Vector Controlled PMSM Drive

Comparative Study between PI and FUZZY Logic Speed Controller in Vector Controlled PMSM Drive

... with vector control of permanent magnet synchronous motor (PMSM) using two different type of speed controller, one is PI controller and another is FUZZY logic ...a ... See full document

5

High performance position control of permanent magnet synchronous drives

High performance position control of permanent magnet synchronous drives

... drive control systems, computer simulations provide a useful way to verify the correctness and efficiency of various schemes and control algorithms before the final system is actually constructed, ... See full document

11

High performance position control for permanent magnet synchronous drives

High performance position control for permanent magnet synchronous drives

... drive control systems, computer simulations provide a useful way to verify the correctness and efficiency of various schemes and control algorithms before the final system is actually constructed, ... See full document

98

Closed Loop Speed Control of a BLDC Motor Drive Using Adaptive Fuzzy Tuned PI Controller

Closed Loop Speed Control of a BLDC Motor Drive Using Adaptive Fuzzy Tuned PI Controller

... Permanent magnet brushless DC motors (PMBLDC) find wide applications in industries due to their high power density and ease of ...generally controlled using a three phase power semiconductor ...the ... See full document

12

Adaptive neuro-fuzzy controller of switched reluctance motor

Adaptive neuro-fuzzy controller of switched reluctance motor

... of adaptive neuro-fuzzy (ANFIS) control for switched reluctance motor (SRM) ...the fuzzy inference system and the learning capability of neural ...An adaptive neuro-fuzzy ... See full document

12

Modeling And Simulation For NVH Evaluation

Modeling And Simulation For NVH Evaluation

... system model proposed in this paper, we can further improve the simulation capability by including more components in the ...empirical model that uses motor current as input and durability ... See full document

5

SELF TUNING CONTROLLERS FOR DAMPING LOW FREQUENCY OSCILLATIONS

SELF TUNING CONTROLLERS FOR DAMPING LOW FREQUENCY OSCILLATIONS

... new control methods based on adaptive Neuro-Fuzzy damping controller and adaptive Artificial Neural Networks damping controller techniques to control a Unified Power Flow controller ... See full document

8

Study on modelling and simulation of permanent magnet stepping motor by MATLAB/SIMULINK

Study on modelling and simulation of permanent magnet stepping motor by MATLAB/SIMULINK

... stepper motor is an electromechanical actuator which converts the input pulse train into a precisely defined increment in the shaft ...motion control applications, where the high torque is not required, ... See full document

5

Speed Control of Induction Motor using FOC Method

Speed Control of Induction Motor using FOC Method

... The vector control algorithm is based on two fundamental ...induction motor can be modelled most simply (and controlled most simply) using two quadrature currents rather than the familiar ... See full document

5

Speed Control of Separately Excited DC Motor

Speed Control of Separately Excited DC Motor

... continuous control characteristics. Traditionally rheostatic armature control method was widely used for the speed control of low power dc ...and control due to learning ability, ... See full document

7

A Permanent Magnet Hall Thruster for Pulsed Orbit Control of Lunar Polar Satellites

A Permanent Magnet Hall Thruster for Pulsed Orbit Control of Lunar Polar Satellites

... Winter et al (2009) [3] proposed, in a previous work, a method to increase the lifetime of polar lunar satellites in near circular orbit using low thrust propulsion and the locally optimal thrust. This approach is ... See full document

7

Hardware Implementation of Vector Control of Induction Motor Drive without Speed Encoder Using an Adaptive Luenberger Based MRAS Observer

Hardware Implementation of Vector Control of Induction Motor Drive without Speed Encoder Using an Adaptive Luenberger Based MRAS Observer

... The main objective of the research presented in this paper was to analyse and evaluate of optimum used flux observer (Adaptive Luenberger) in electrical drivers systems without sensorless. The analysis was done by ... See full document

16

Condenser and Deaerator Control using Fuzzy-Neural Technique

Condenser and Deaerator Control using Fuzzy-Neural Technique

... Figure (1) shows the flow diagram of the system under control. The circulating water (cooling water) is passing through the tubes of the condenser and receives energy from the steam that is coming from the Low ... See full document

18

Speed Control of BLDC Motor Using DSP

Speed Control of BLDC Motor Using DSP

... modern control technologies have significantly influenced the wide spread use of permanent magnet brushless (BLDC) motor[3] drives in order to meet the competitive worldwide market demands of ... See full document

5

Design of an Omni-directional Spherical Robot: Using Fuzzy Control

Design of an Omni-directional Spherical Robot: Using Fuzzy Control

... Figure 2.3(a) is the hardware block diagram of the robot system. Control algorithms are executed in processor unit. A personal computer is the control center of the robot for signal processing and ... See full document

6

J. Microw. Optoelectron. Electromagn. Appl.  vol.10 número1

J. Microw. Optoelectron. Electromagn. Appl. vol.10 número1

... converter model used in this study represents only an ideal IGBT-based machine side converter connected to an internal direct-current (dc) network of the wind ... See full document

11

Neural feedback linearization adaptive control for affine nonlinear systems based on neural network estimator

Neural feedback linearization adaptive control for affine nonlinear systems based on neural network estimator

... parameters vector θ of the first RBF neural ...the adaptive law (32) to adjust the parameters vector θ of the controller in the first iteration, then the control input u is given a first value ... See full document

17

Adaptive Control of a DC Motor Using Neural Network Sliding Mode Control

Adaptive Control of a DC Motor Using Neural Network Sliding Mode Control

... generally controlled by conventional Proportional – Integral – Derivative (PID) controllers, since they designed easily, have low cost, inexpensive maintenance and ...mathematical model or to make some ... See full document

5

Development of a trajectory following vehicle control model

Development of a trajectory following vehicle control model

... velocity control cannot be limited by a sin- gle target ...the following point of the first aimed point through the path, which is in peripheral vision that is not in focus, but that which the eyes can ... See full document

11

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