ISSN: (Online) Volume 2, Issue 2, February 2014 International Journal of Advance Research in Computer Science and Management Studies

Similar documents
Direct Torque Control of Three Phase Induction Motor FED with Three Leg Inverter Using Proportional Controller

Simulation of Direct Torque Control of Induction motor using Space Vector Modulation Methodology

A Direct Torque Controlled Induction Motor with Variable Hysteresis Band

DIRECT TORQUE CONTROL OF THREE PHASE INDUCTION MOTOR USING FUZZY LOGIC

Sensorless Speed Control for PMSM Based On the DTC Method with Adaptive System R. Balachandar 1, S. Vinoth kumar 2, C. Vignesh 3

SPEED CONTROL OF PMSM BY USING DSVM -DTC TECHNIQUE

Implementation of Twelve-Sector based Direct Torque Control for Induction motor

Independent Control of Speed and Torque in a Vector Controlled Induction Motor Drive using Predictive Current Controller and SVPWM

Sensorless DTC-SVM of Induction Motor by Applying Two Neural Controllers

Robust sliding mode speed controller for hybrid SVPWM based direct torque control of induction motor

DTC Based Induction Motor Speed Control Using 10-Sector Methodology For Torque Ripple Reduction

DEVELOPMENT OF DIRECT TORQUE CONTROL MODELWITH USING SVI FOR THREE PHASE INDUCTION MOTOR

Modelling of Closed Loop Speed Control for Pmsm Drive

Novel DTC-SVM for an Adjustable Speed Sensorless Induction Motor Drive

Direct Torque Control of Three Phase Induction Motor Using Fuzzy Logic

Modeling of Direct Torque Control (DTC) of BLDC Motor Drive

PERFORMANCE ANALYSIS OF DIRECT TORQUE CONTROL OF 3-PHASE INDUCTION MOTOR

Sensorless Field Oriented Control of Permanent Magnet Synchronous Motor

FUZZY LOGIC BASED ADAPTATION MECHANISM FOR ADAPTIVE LUENBERGER OBSERVER SENSORLESS DIRECT TORQUE CONTROL OF INDUCTION MOTOR

International OPEN ACCESS Journal Of Modern Engineering Research (IJMER)

TORQUE-FLUX PLANE BASED SWITCHING TABLE IN DIRECT TORQUE CONTROL. Academy, Istanbul, Turkey

Three phase induction motor using direct torque control by Matlab Simulink

A new FOC technique based on predictive current control for PMSM drive

A High Performance DTC Strategy for Torque Ripple Minimization Using duty ratio control for SRM Drive

DESIGN AND MODELLING OF SENSORLESS VECTOR CONTROLLED INDUCTION MOTOR USING MODEL REFERENCE ADAPTIVE SYSTEMS

Comparative Analysis of Speed Control of Induction Motor by DTC over Scalar Control Technique

Four-Switch Inverter-Fed Direct Torque control of Three Phase Induction Motor

Speed Behaviour of PI and SMC Based DTC of BLDC Motor

Speed Sensor less Control and Estimation Based on Mars for Pmsm under Sudden Load Change

Direct torque control of induction motor fed by two level inverter using space vector pulse width modulation

Mathematical Modeling and Dynamic Simulation of a Class of Drive Systems with Permanent Magnet Synchronous Motors

Speed Sensor less DTC of VSI fed Induction Motor with Simple Flux Regulation for Improving State Estimation at Low Speed

A Novel Three-phase Matrix Converter Based Induction Motor Drive Using Power Factor Control

AI based Direct Torque Fuzzy Control of AC Drives

Available online at ScienceDirect. Procedia Technology 25 (2016 )

Digitization of Vector Control Algorithm Using FPGA

COMPARISION BETWEEN TWO LEVEL AND THREE LEVEL INVERTER FOR DIRECT TORQUE CONTROL INDUCTION MOTOR DRIVE

Direct torque control of three Phase induction motor using matlab

970 IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 48, NO. 3, MAY/JUNE 2012

DESIGN, SIMULATION AND ANALYSIS OF SENSORLESS VECTOR CONTROLLED INDUCTION MOTOR DRIVE

Research on Permanent Magnet Linear Synchronous Motor Control System Simulation *

Hysteresis Control and Constant-Switching Strategy in Direct Torque Control Drive A Comparative Analysis

Study Of Total Harmonic Distortion Using Space Vector Modulation Technique In Permanent Magnet Synchronous Motor

1234. Sensorless speed control of a vector controlled three-phase induction motor drive by using MRAS

Fuzzy Control of DTC for Three Level Neutral Point Clamped Inverter Fed Induction Motor

Robust Non-Linear Direct Torque and Flux Control of Adjustable Speed Sensorless PMSM Drive Based on SVM Using a PI Predictive Controller

Anakapalli Andhra Pradesh, India I. INTRODUCTION

Simplified EKF Based Sensorless Direct Torque Control of Permanent Magnet Brushless AC Drives

DIRECT TORQUE CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR USING TWO LEVEL INVERTER- SURVEY PAPER

ENHANCEMENT IN STEADY STATE AND DYNAMIC PERFORMANCE OF DIRECT TORQUE CONTROL INDUCTION MOTOR DRIVE

MATLAB SIMULATION OF DIRECT TORQUE CONTROL OF INDUCTION MOTOR USING CONVENTIONAL METHOD AND SPACE VECTOR PULSE WIDTH MODULATION

A NOVEL FLUX-SPACE-VECTOR-BASED DIRECT TORQUE CONTROL SCHEME FOR PMSG USED IN VARIABLE-SPEED DIRECT-DRIVE WECS

Analysis of Direct Torque Control of PMSM Drive Using Different Inverter Topologies

Position with Force Feedback Control of Manipulator Arm

HIGH PERFORMANCE ADAPTIVE INTELLIGENT DIRECT TORQUE CONTROL SCHEMES FOR INDUCTION MOTOR DRIVES

A NEURAL NETWORK-BASED SVPWM CONTROLLER FOR A TWO-LEVEL VOLTAGE-FED INVERTER INDUCTION MOTOR DRIVE

PERFORMANCE ENHANCEMENT OF DIRECT TORQUE CONTROL OF INDUCTION MOTOR USING FUZZY LOGIC

Comparison Between Direct and Indirect Field Oriented Control of Induction Motor

Robust Speed Controller Design for Permanent Magnet Synchronous Motor Drives Based on Sliding Mode Control

DISCRETE-TIME PI CONTROLLER BASED SPEED CONTROL OF DTC INTERIOR PERMANENT MAGNET SHYNCHRONOUS MOTOR

MAGNT Research Report (ISSN ) Vol.2 (6). PP: 22-31

the machine makes analytic calculation of rotor position impossible for a given flux linkage and current value.

Sensorless Control for High-Speed BLDC Motors With Low Inductance and Nonideal Back EMF

FUZZY LOGIC CONTROL BASED DIRECT TORQUE CONTROL SCHEME FOR A FOUR SWITCH INVERTER-FED INDUCTION MOTOR DRIVE

Modelling and Simulation of Direct Self-Control Systems*

Comparison by Simulation of Various Strategies of Three Level Induction Motor Torque Control Schemes for Electrical Vehicle Application

Speed Control of Induction Motor Drives using Nonlinear Adaptive Controller

DIRECT TORQUE CONTROL OF BLDC MOTOR USING FUZZY LOGIC IN LABVIEW

Parameter Prediction and Modelling Methods for Traction Motor of Hybrid Electric Vehicle

Offline Parameter Identification of an Induction Machine Supplied by Impressed Stator Voltages

Variable Sampling Effect for BLDC Motors using Fuzzy PI Controller

Artificial Neural Network and Adaptive Neuro Fuzzy Control of Direct Torque Control of Induction Motor for Speed and Torque Ripple Control

Direct Torque Control of Brushless DC Motor with Non-sinusoidal Back-EMF

RamchandraBhosale, Bindu R (Electrical Department, Fr.CRIT,Navi Mumbai,India)

Direct Flux Vector Control Of Induction Motor Drives With Maximum Efficiency Per Torque

Sensorless Induction Motor Speed Control with Fast Dynamic Torque Control

International Journal of Advance Engineering and Research Development SIMULATION OF FIELD ORIENTED CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR

STUDY OF INDUCTION MOTOR DRIVE WITH DIRECT TORQUE CONTROL SCHEME AND INDIRECT FIELD ORIENTED CONTROL SCHEME USING SPACE VECTOR MODULATION

Improved efficiency of a fan drive system without using an encoder or current sensors

Mathematical Modelling of Permanent Magnet Synchronous Motor with Rotor Frame of Reference

Modeling and Simulation of Indirect Field Oriented Control of Three Phase Induction Motor using Fuzzy Logic Controller

Dynamic Modeling of Surface Mounted Permanent Synchronous Motor for Servo motor application

A New Model Reference Adaptive Formulation to Estimate Stator Resistance in Field Oriented Induction Motor Drive

Speed Control of PMSM Drives by Using Neural Network Controller

We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors

Unity Power Factor Control of Permanent Magnet Motor Drive System

Evaluation of Two Control Strategies for Induction Machine

Modified SVPWM Algorithm for 3-Level Inverter Fed DTC Induction Motor Drive

International Journal of Advance Engineering and Research Development

SSRG International Journal of Electrical and Electronics Engineering (SSRG-IJEEE) volume 2 Issue 5 May 2015

Vector Controlled Power Generation in a Point Absorber Based Wave Energy Conversion System

FUZZY LOGIC APPROACH OF SENSORLESS VECTOR CONTROL OF INDUCTION MOTOR USING EFFICIENCY OPTIMIZATION TECHNIQUE

Optimization of PI Parameters for Speed Controller of a Permanent Magnet Synchronous Motor by using Particle Swarm Optimization Technique

Unity Power Factor Control of Permanent Magnet Motor Drive System

Power Quality Improvement in PMSM Drive Using Zeta Converter

EFFICIENCY OPTIMIZATION OF VECTOR-CONTROLLED INDUCTION MOTOR DRIVE

Direct Torque Control of 5-phase 10/8 Switched Reluctance Motor by Using Fuzzy Method

A New Stator Resistance Tuning Method for Stator-Flux-Oriented Vector-Controlled Induction Motor Drive

Dr. N. Senthilnathan (HOD) G. Sabaresh (PG Scholar) Kongu Engineering College-Perundurai Dept. of EEE

A Novel Adaptive Estimation of Stator and Rotor Resistance for Induction Motor Drives

Transcription:

ISSN: 2321-7782 (Online) Volume 2, Issue 2, February 2014 International Journal of Advance Research in Computer Science and Management Studies Research Article / Paper / Case Study Available online at: www.ijarcsms.com A Survey on Induction Motor Drive using DTFC & Fuzzy Logic Control Charu Prabha. V 1 PG Scholar M.E. Power Electronics and Drives The Kavery Engineering College Salem India Karthick. S 2 Assistant Professor Department of EEE The Kavery Engineering College Salem India Abstract: This paper presents the direct control techniques which are used to control the electric drives (ED). The direct control strategy that has been used in this paper is (DTFC) Direct Torque and Flux Control. DTC is a direct method of controlling the stator side or the rotor side flux and torque. In this paper DTC is implied on a three phase Induction Mo-tor drive (IMD).This approach has been examined with the help of PI controller and (FLC) Fuzzy Logic Controller. This proposed method has been simulated with the help of MATLAB software. Keywords: ED-Electric Drives, DTC-Direct flux and torque control, IMD-Induction motor drive, FLC-Fuzzy logic controller, PI-Proportional integral controller. I. INTRODUCTION The electric drives are generally used in various industries in order to perform its desired operations and control applications. These motors are driven under various conditions depending upon its different areas of location. The electric drives used in any industry should meet its desired output. Hence for each individual application the controlling method varies widely. II. VARIABLE FREQUENCY CONTROL These control methods are of various types and they are utilized for specific purposes. General control techniques for induction motor drives are classified into two as, Scalar control method and Vector control method. Fig. 1 Control methods of induction motor 2014, IJARCSMS All Rights Reserved 205 P a g e

The broad classification of Variable frequency control is shown in the following figure.1 and the proposed control scheme is indicated with thick lines as shown in the figure. The various types under variable frequency control are discussed below. A. Scalar control The scalar control is a type of variable frequency control. This scalar control is used to control the angular speed of current, voltage, and flux linkage in space vectors. The scalar control operates in steady state and it is not capable of operating in transient state. B. Vector control The vector control can operate in all dynamic states. It controls not only the angular speed and magnitude but also the instantaneous position of current, voltage, and flux linkage are also controlled. This vector based control is further classified as, Field Oriented Control(FOC) Direct Flux and Torque Control (DTC) a) Direct Torque Space Vector Modulation(DTC-SVM) b) Circle Flux Trajectory c) Hexagon Flux Trajectory Passivity Based Control 1. Field Oriented Control (FOC): In the vector control, one of the most popular control method for induction motor drives, known as Field Oriented Control (FOC). The FOC gives high performance, and high efficiency for industrial applications. In this FOC, the motor equations are transformed into a coordinate system that rotates in synchronism with the rotor flux vector control. This drawback was eliminated using the new strategies for torque and flux ripple control of IMD using DTC. Fig. 2 Control Scheme for Field Oriented Control. The FOC is good in high dynamic performance, low stator flux and torque ripples, switching frequency, and maximum fundamental component of stator current, but FOC method has some drawbacks, such as requirement of two co-ordinate transformations, current controllers, and high machine parameter sensitivity. The control scheme for a field oriented control (FOC) approach differs in that the current loop occurs de-referenced from the motor's rotation; there are two actual current loops, one for the torque Q, and the other one for the torque D. The torque loop Q is driven with the torque that is given by the user from the servo controller. 2014, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) 206 P a g e

The loop D is driven with an input command zero that is used to minimize the unwanted direct torque component. This work is done with the help of mathematical transformations that convert the vector phase angle to the de-referenced D and Q reference frame. These transformations are known earlier and their practical implementation in brushless DC and AC Induction drives is now relatively acquires commonplace due to the availability of less cost, good performance in microprocessor s. 2. Conventional direct torque and flux control (DTC): 3. The drawbacks in the field oriented control can be eliminated by using this DTC technique. Compared with the field oriented control DTC has very simple control scheme and computational requirements such as the current controllers and coordinate transformations are not required. The DTC is simplified scheme with less time consumption. The DTC technique is also abbreviated as direct flux and torque control (DFTC). Fig. 3 Basic blocks of DTC Scheme This control proposes motor linearization and decoupling through mathematical coordinate transformations using torque and flux hysteresis controllers, and hence said to be DTC method. The main drawbacks in this control method are given below as, High torque ripples Slow transient response during start-up condition. Variable switching frequency and Low speed operating conditions. To overcome this, the DTC control method is used along with the artificial intelligence technique such as Fuzzy logic. With the Fuzzy logic all the disadvantages especially the torque ripples and transient response of the system can be improved significantly. The following are some of the properties of DTC, by changing the reference values the values of torque and flux can be changed. Since transistors are switched only when nits needed to keep the torque and flux within the heir hysteresis band it reduces the losses and improves the efficiency. Hence proper reference values provide better performance of the drive. The average switching frequency can be maintained constant by controlling the width of the tolerance bands. This keeps the current and torque ripples small. Thus compared with the vector controlled drives with the same switching frequency here the torque and current ripple are of the same magnitude. There are no peaks in the current spectrum which means that the noise of the machine is low. In higher speeds the method is not sensitive to any motor parameters but at low speeds error in stator resistance becomes critical. 2014, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) 207 P a g e

Another drawback is the flux and torque distortion which is caused by stator flux vector which is changing with the sector position and the Induction motor drive speed also changes in accordance with the states of transient and dynamic operating conditions. 4. Proposed Direct Torque and Flux Control (DTC): The proposed direct torque and flux control is mostly employed for fast dynamic motors.dtc has been robustly used for its fast torque and flux control. The changes in the rotor flux linkages is compared with the changes in the stator flux linkages, since the rotor time constant of an induction machine is large. Rapid changes can be made to the electromagnetic torque by rotating the stator flux in the required direction by providing the proper torque command. The stator flux can be increased or decreased by giving proper stator, thus providing the effective control. In this proposed method PI controller is used which regulates the speed of the Induction motor drive and the fuzzy logic controller is used to reduce the stator flux and torque ripples. Two independent torque and flux controlling hysteresis bands are employed in this proposed DTC technique. The independent hysteresis bands of torque and flux are used in order to control the limits of torque and flux. Finally the effectiveness of the induction motor drive is examined for its low stator flux and torque ripples and provides good speed regulation. 5. Direct Flux and Torque-Space Vector Modulation (DTC-SVM): The most convenient control scheme for voltage source inverter fed Induction motor drive is obtained with the direct flux and torque controlled with space vector modulation.in SVM technique instead of using separate modulators for each of the three phases the reference voltage is given by the space voltage vectors and the output voltage of the inverter is considered as space vectors. The implementation of DTC using SVM requires computation of vector switching states through a feedback current loop of torque and flux without usage of the inner current loop. The flux loop has two levels of digital output and the torque loop has three levels of digital output. Fig. 4 Block diagram of Space vector modulation Totally there are eight possible voltage space vectors. In that (U 1 -U 6 ) are six active space vectors and (U 7 -U8) and the remaining two are zero vectors which is shown in figure5. In those eight possible switches if U 0 and U 7 are selected then the flux rotation stops and there will be a derease in torque and therefore the amplitude of flux remains constant.by this kind of torque and flux hysteresis comparator the voltage flux is maintained within circular zigzag path. 2014, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) 208 P a g e

The required switching table is formed with its torque and flux reference values and its compared with the actual values and finally the speed is improved. In this proposed method PI controller is used which regulates the speed of the Induction motor drive and the fuzzy logic controller is used to reduce the stator flux and torque ripples. Two independent torque and flux controlling hysteresis bands are employed in this proposed DTC technique. The independent hysteresis bands of torque and flux are used in order to control the limits of torque and flux. Finally the effectiveness of the induction motor drive is examined for its low stator flux and torque ripples and provides good speed regulation The advantages of this DTC-SVM method are as follows, Fig. 5 Eight possible switching configuration of the voltage source inverter The number of dynamic equations can be reduced. Possibility of analysis at any supply voltage waveform, Equations can be represented in rectangular coordinate systems. III. CONCLUSION This paper has introduced a survey on Induction motor speed control. Three phase induction motor is controlled with an efficient technique called DTC. The DTC helps in controlling the torque and flux and provides better speed regulation. Hence by using this DTFC technique along with the Fuzzy logic control strategy has improved the motor performance and efficiency and speed control of the Induction motor is obtained in an accurate manner. References 1. Blaschke F (1988), the principle of field-orientation as applied to the transvector closed-loop control system for rotating-field machines, Siemens Rev., vol.34, pp.135-147. 2. Suresh Mikkili, A.K. Panda (2011), PI and Fuzzy Logic Controller based 3- phase 4-wire Shunt active filter for mitigation of Current harmonics with Id- Iq Control Strategy, Journal of power Electronics (JPE), vol.11, No. 6 3. Tang L, Zhong L, Rahman M.F, Hu Y (2004),A novel direct torque controlled interior permanent magnet synchronous machine drive with low ripple in flux and torque and fixed switching frequency, IEEE Transactions on Power Electronics, 19(2), p.346-354. 4. Uddin M.N, T. S. Radwan, and M. A. Rahman (2002), Performance of fuzzy logic- based indirect vector control for induction motor drive, IEEE Trans. Ind. Appl. Vol.38, no. 5, PP. 1219-1225. 5. G.S. Buja, M.P.Kazmierkowski, DTC of pwm inverter-fed AC motors A Survey, IEEE Trans. on Ind. Elec., volume 54, no. 4, 2004. 2014, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) 209 P a g e

6. I. Takahashi and T.Noguchi, A new quick response and high efficiency control strategy of an induction motor, IEEE Trans. Ind. Appl., vol. 22, no. 5, pp. 820-827, 1986. 7. M. Dependrock, Direct self control (DSC) of inverter-fed induction machine, IEEE Trans. on Power Electronics, volume 22, no. 5, pp. 820-827, September/October 1986. 8. B.K.Bose, Modern Power Electronics and AC Drives, Prentice Hall Indic, 2006. 9. C. F. Hu, R. B. Hong, and C. H. Liu, Stability analysis and PI controller tuning for a speed sensorless vector-controlled induction motor drive, 30th Annual Conference of IEEE Inds. Elec.,Society, 2004, IECON, vol. 1, 2-6 Nov. 2004, pp. 877-882, 2004. 10. I. Takahashi and Y. Ohmori, High-performance direct torque control of induction motor, IEEE Trans. Ind. Appl., vol. 25, no. 2, pp. 257-264, 1989. 11. P. Vas, Sensorless vector and direct torque control, Oxford University Press, 1998. AUTHOR(S) PROFILE V.Charu Prabha, student of The Kavery Engineering College, Pursuing M.E (PED). She has received her B.E (EEE) Degree from Karpagam Institute of Technology, Coimbatore, in 2012. Her research area is flux and torque control of an Induction motor. S. Karthick, obtained his Master Degree in Applied Electronics, from Anna University, Chennai. He has 7 years of teaching experience and 6 years in industries. He has presented 14 research papers in International / national Conference. His main area of research is image processing. 2014, IJARCSMS All Rights Reserved ISSN: 2321-7782 (Online) 210 P a g e