Electric Drive Control with Rotor Resistance and Rotor Speed Observers Based on Fuzzy Logic

Many scientific researchers have proposed the control of the induction motor without speed sensor. These methods have the disadvantage that the variation of the rotor resistance causes an error of estimating the motor speed. Thus, simultaneous estimation of the rotor resistance and the motor speed is required. In this paper, a scheme for estimating simultaneously the rotor resistance and the rotor speed of an induction motor using fuzzy logic has been developed. We present a method which is based on two adaptive observers using fuzzy logic without affecting each other and a simple algorithm in order to facilitate the determination of the optimal values of the controller gains. The control algorithm is proved by the simulation tests. The results analysis shows the characteristic robustness of the two observers of the proposed method even in the case of variation of the rotor resistance.

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Performance Improvement of Induction Motor Speed Sensor-Less Vector Control System by the Phase Current Non-Zero Control in Low Speed Range

IEEJ Transactions on Industry Applications ◽

10.1541/ieejias.128.274 ◽

2008 ◽

Vol 128 (3) ◽

pp. 274-281

Author(s):

Tetsuya Fukumoto ◽

Yousuke Kato ◽

Kazuya Kurita ◽

Yoichi Hayashi

Keyword(s):

Control System ◽

Vector Control ◽

Induction Motor ◽

Performance Improvement ◽

Motor Speed ◽

Low Speed ◽

Phase Current ◽

Speed Sensor ◽

Speed Range ◽

Vector Control System

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Rotor speed detection method for vector control of induction motor without speed sensor utilizing slot harmonics

Electrical Engineering in Japan ◽

10.1002/eej.20847 ◽

2009 ◽

Vol 169 (1) ◽

pp. 41-49 ◽

Cited By ~ 1

Author(s):

Hirofumi Kiyotake ◽

Katsuji Shinohara ◽

Kichiro Yamamoto

Keyword(s):

Vector Control ◽

Induction Motor ◽

Detection Method ◽

Rotor Speed ◽

Speed Sensor

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Fuzzy Logic Control Design for Induction Motor Speed Control Improvement Through Field Oriented Control

Lecture Notes in Electrical Engineering - Information Technology Convergence ◽

10.1007/978-94-007-6996-0_29 ◽

2013 ◽

pp. 273-280

Author(s):

Roslina Mat Ariff ◽

Dirman Hanafi ◽

Whayu Mulyo Utomo ◽

Kok Boon Ching ◽

Nooradzianie Muhd Zin ◽

...

Keyword(s):

Fuzzy Logic ◽

Induction Motor ◽

Fuzzy Logic Control ◽

Control Design ◽

Speed Control ◽

Field Oriented Control ◽

Motor Speed ◽

Logic Control

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Fuzzy Logic Based Gains Determination of Induction Motor Flux Observers

EPE Journal ◽

10.1080/09398368.2002.11463501 ◽

2002 ◽

Vol 12 (2) ◽

pp. 1-12 ◽

Cited By ~ 2

Author(s):

F Berthereau ◽

B Robyns ◽

J.P Hautier

Keyword(s):

Fuzzy Logic ◽

Induction Motor

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An Efficient Sensorless Slip Dependent Thermal Motor Protection Schemes Applied to Submersible Pumps

International Journal of Engineering Research in Africa ◽

10.4028/www.scientific.net/jera.14.75 ◽

2015 ◽

Vol 14 ◽

pp. 75-86 ◽

Cited By ~ 2

Author(s):

Mohamed I. Abdelwanis ◽

Fatallah Selim ◽

Ragab Abdel-Aziz El-Sehiemy

Keyword(s):

Induction Motor ◽

Motor Performance ◽

Estimation Algorithm ◽

Operating Conditions ◽

Motor Speed ◽

Rotor Resistance ◽

Three Phase ◽

Submersible Motor ◽

Abnormal Operating Conditions ◽

Motor Protection

This paper proposes a sensorless procedure to estimate the induction motor speed and the dependable heat contents of the stator and rotor sides. The proposed procedure is based on the electrical models of a three phase Induction Motor (IM). The motor electrical models for normal and abnormal will be discussed and a technique is introduced for accommodating frequency dependent skin effect of the rotor resistance using a simple proposed speed estimation algorithm. The electrical models are customized from the positive and negative sequence networks. The speed detection is based on the rotor parameters slip dependent. The models are then used to analyze different operating conditions of the motor. Two thermal motor protection schemes are suggested. The first scheme is dependent on the stator side while the other scheme is developed for rotor side. The Matlab software is used for this purpose to emulate efficiently the proposed estimation procedures through a complete motor modeling which is fed from the power grid. Finally, the results provide the motor performance characteristics which involve current, torque, speed and stator/rotor temperature versus time for numerous operating conditions. It is concluded that the proposed sensorless procedure is efficient to protect the induction motors against abnormal starting as well as the overheating on either stator or rotor sides. Also, the proposed sensorless estimation for speed and temperature is reliable for submersible motor applications. The proposed schemes can be considered as costless preventive maintenance procedure.Index Terms: induction motor, slip dependent, sensorless, thermal model, abnormal operating conditions.

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Stator and Rotor Resistance Observers for Induction Motor Drive Using Fuzzy Logic and Artificial Neural Networks

IEEE Transactions on Energy Conversion ◽

10.1109/tec.2005.853761 ◽

2005 ◽

Vol 20 (4) ◽

pp. 771-780 ◽

Cited By ~ 59

Author(s):

B. Karanayil ◽

M.F. Rahman ◽

C. Grantham

Keyword(s):

Neural Networks ◽

Fuzzy Logic ◽

Artificial Neural Networks ◽

Induction Motor ◽

Motor Drive ◽

Induction Motor Drive ◽

Rotor Resistance ◽

Artificial Neural

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Performance Analysis of DTC-SVM Sliding Mode Controllers-Based Parameters Estimator of Electric Motor Speed Drive

Mathematical Problems in Engineering ◽

10.1155/2014/127128 ◽

2014 ◽

Vol 2014 ◽

pp. 1-11 ◽

Cited By ~ 4

Author(s):

Fatma Ben Salem ◽

Nabil Derbel

Keyword(s):

Induction Motor ◽

Controller Design ◽

Sliding Mode ◽

Direct Torque Control ◽

Torque Ripple ◽

Mutual Inductance ◽

Torque Control ◽

Motor Speed ◽

Rotor Resistance ◽

Stator Resistance

This paper is concerned with a framework which unifies direct torque control space vector modulation (DTC-SVM) and variable structure control (VSC). The result is a hybrid VSC-DTC-SVM controller design which eliminates several major limitations of the two individual controls and retains merits of both controllers. It has been shown that obtained control laws are very sensitive to variations of the stator resistance, the rotor resistance, and the mutual inductance. This paper discusses the performances of adaptive controllers of VSC-DTC-SVM monitored induction motor drive in a wide speed range and even in the presence of parameters uncertainties and mismatching disturbances. Better estimations of the stator resistance, the rotor resistance, and the mutual inductance yield improvements of induction motor performances using VSC-DTC-SVM, thereby facilitating torque ripple minimization. Simulation results verified the performances of the proposed approach.

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