Sensorless PM Motor with Multi Degree of Freedom Fuzzy Control (original) (raw)

This paper introduces application of multi degree of freedom fuzzy (MDOFF) controller in permanent magnet (PM) drive system. The drive system model is developed for FO control. Simulation of the system is carried out to predict the performance at NL and under load,. The results indicate that application of MDOFF controller is effective for sensorless PM drive system. Keywords—Sensorless FO controller, PM drives system, MDOFF controller.

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High Performance Control of Sensorless Permanent Magnet Synchronous Motor

This paper presents an investigation and evaluation of the performance of the Permanent Magnet synchronous Motor drive controlled by conventional PI (Proportional Integral), SUI PI (Simplified Universal Intelligent PI) controller, ANN (Artificial Neural Network) and Fuzzy Logic Controllers. A detailed study and comparisons between these different kinds of controllers were presented on the simulation results.

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Implementation of Fuzzy Logic controller for permanent magnet brushless DC motor drives

2010

This paper presents the analysis of Fuzzy Logic controller for permanent magnet brushless DC motor drive. The brushless direct current (BLDC) motor is efficiently controlled by Fuzzy logic controller compare to the other type of controllers. The dynamic characteristics of the brushless dc motor such as speed, torque, currents and voltages of the inverter components are easily observed and analyzed by using the developed Matlab model. To verify the effectiveness of the controller the simulation results are compared with experimental results.

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Sensorless Field Oriented Control of Permanent Magnet Synchronous Motor

This paper presents a controller which consists of a Proportional, Integral (PI) and fuzzy speed controller for the sensorless speed control of Permanent Magnet Synchronous Motor (PMSM) using Model Reference Adaptive System (MRAS). In this paper the sensorless control of PMSM is studied. The study contains two main purposes; the first is to find a simple effective method to estimate the rotor position and angular speed of the PMSM, The second is to regulate the speed of the motor with varying the load using the PI controller and the fuzzy controller. The simulation of the system is established using MATLAB package. This paper mainly focuses on designing the MRAS algorithm in order to estimate rotor speed. When the load torque changes suddenly this algorithm decreases the rise time to reach the speed reference.

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Permanent Magnet Synchronous Motor Drive System Based on Fuzzy Control

Applied Mechanics and Materials, 2013

A permanent magnet synchronous motor fuzzy control drive system based on field programmable gate array is proposed in this paper. This system has the high-precision control characteristic, which is hard for the traditional permanent magnet synchronous motor drive system to achieve. In this system a magnetic field oriented vector control with a zero excitation current is used, and three feedback loops consisting of current loop, velocity loop and position loop are used to build three fuzzy proportional integral controllers with fuzzy control method. The reliability and the dynamic of system performance can be improved by this method. The experimental results show that this system has advantages of high-precision control characteristic and enhancing the system robustness.

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MRAS for Speed Sensorless Direct Torque Control of a PMSM Drive Based on PI Fuzzy Logic and Stator Resistance Estimator

In this paper, a sensorless Direct Torque control (DTC) for Permanent Magnet Synchronous Motor (PMSM) drive based on Adaptive Model Reference (MRAS) algorithm and PI with adapted gains fuzzy logic (FL) are presented. The MRAS is utilized to estimate speed and stator resistance and compensate the effects of parameter variation on (stator resistance variation introduce errors flux and torque estimation and affect the performance of DTC). In other hand, speed regulation by PI with two adaptive FLC is investigated and compared with classical PI controller. Simulation results are presented and show the effectiveness of the proposed method.

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