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

Similar documents
Speed Behaviour of PI and SMC Based DTC of BLDC Motor

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

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

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

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

Modelling of Closed Loop Speed Control for Pmsm Drive

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

II.PROPOSED LINE-TO-LINE PARK AND CLARKETRANSFORMATIONS IN 2 2 MATRIX FORM

Sensorless Field Oriented Control of Permanent Magnet Synchronous Motor

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

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

International Journal of Advance Engineering and Research Development

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

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

Torque Ripple Reduction Using Torque Compensation Effect of an Asymmetric Rotor Design in IPM Motor

CHAPTER 2 MODELLING OF INTERIOR PERMANENT MAGNET SYNCHRONOUS MOTOR

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

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

SPEED CONTROL OF PMSM BY USING DSVM -DTC TECHNIQUE

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

Variable Sampling Effect for BLDC Motors using Fuzzy PI Controller

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

Anakapalli Andhra Pradesh, India I. INTRODUCTION

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

Speed Control of PMSM Drives by Using Neural Network Controller

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

Three phase induction motor using direct torque control by Matlab Simulink

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

Power Quality Improvement in PMSM Drive Using Zeta Converter

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

A Direct Torque Controlled Induction Motor with Variable Hysteresis Band

Analytical Model for Permanent Magnet Motors With Surface Mounted Magnets

Power density improvement of three phase flux reversal machine with distributed winding

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

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

Mathematical Modelling of an 3 Phase Induction Motor Using MATLAB/Simulink

Proceedings of the 6th WSEAS/IASME Int. Conf. on Electric Power Systems, High Voltages, Electric Machines, Tenerife, Spain, December 16-18,

1439. Numerical simulation of the magnetic field and electromagnetic vibration analysis of the AC permanent-magnet synchronous motor

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

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

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

Step Motor Modeling. Step Motor Modeling K. Craig 1

On the Modeling of Brushless DC Motor with Surface-Mounted Magnets

Guangjin Li, Javier Ojeda, Emmanuel Hoang, Mohamed Gabsi, Cederic Balpe. To cite this version:

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

MODELING AND HIGH-PERFORMANCE CONTROL OF ELECTRIC MACHINES

Control of Wind Turbine Generators. James Cale Guest Lecturer EE 566, Fall Semester 2014 Colorado State University

Estimation of speed in linear induction motor drive by MRAS using neural network and sliding mode control

The Application of Anti-windup PI Controller, SIPIC on FOC of PMSM

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

INDUCTION MOTOR MODEL AND PARAMETERS

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

Lecture 7: Synchronous Motor Drives

Hybrid Excited Vernier Machines with All Excitation Sources on the Stator for Electric Vehicles

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

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

Unity Power Factor Control of Permanent Magnet Motor Drive System

II. Mathematical Modeling of

Speed Sensorless Control of a Long-Stator Linear Synchronous-Motor arranged by Multiple Sections

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

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

MODELING AND SIMULATION OF ROTOR FLUX OBSERVER BASED INDIRECT VECTOR CONTROL OF INDUCTION MOTOR DRIVE USING FUZZY LOGIC CONTROL

A Microscopic Investigation of Force Generation in a Permanent Magnet Synchronous Machine

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

Lecture 8: Sensorless Synchronous Motor Drives

Direct predictive control of asynchronous machine torque using matrix converter

SIMULATION OF STEADY-STATE PERFORMANCE OF THREE PHASE INDUCTION MOTOR BY MATLAB

Nonlinear Electrical FEA Simulation of 1MW High Power. Synchronous Generator System

Torque Performance and Permanent Magnet Arrangement for Interior Permanent Magnet Synchronous Motor

Unity Power Factor Control of Permanent Magnet Motor Drive System

Transient Analysis of Three Phase Squirrel Cage Induction Machine using Matlab

2016 Kappa Electronics Motor Control Training Series Kappa Electronics LLC. -V th. Dave Wilson Co-Owner Kappa Electronics.

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

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

Inductance Testing According to the New IEEE Std 1812 Application and Possible Extensions for IPM Machines

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

EFFECTS OF LOAD AND SPEED VARIATIONS IN A MODIFIED CLOSED LOOP V/F INDUCTION MOTOR DRIVE

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

Sunita.Ch 1, M.V.Srikanth 2 1, 2 Department of Electrical and Electronics, Shri Vishnu engineering college for women, India

On-line Parameter Estimation Method for IPMSM Based on Decoupling Control

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

Research on Permanent Magnet Linear Synchronous Motor Control System Simulation *

Experimental Assessment of Unbalanced Magnetic Force according to Rotor Eccentricity in Permanent Magnet Machine

The synchronous machine (detailed model)

Analytical Calculation of Air Gap Magnetic Field Distribution in Vernier Motor

Dynamic Modeling Of A Dual Winding Induction Motor Using Rotor Reference Frame

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

2014 Texas Instruments Motor Control Training Series. -V th. Dave Wilson

A Novel Method on Disturbance Analysis and Feed-forward Compensation in Permanent Magnet Linear Motor System

IEEE/ASME TRANSACTIONS ON MECHATRONICS, VOL. 16, NO. 2, APRIL Direct Torque and Indirect Flux Control of Brushless DC Motor

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

MODELING surface-mounted permanent-magnet (PM)

Mathematical Modeling and Dynamic Simulation of DC Motors using MATLAB/Simulink Environment

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

Position with Force Feedback Control of Manipulator Arm

International OPEN ACCESS Journal Of Modern Engineering Research (IJMER)

COMPREHENSIVE STUDY ON FUZZY LOGIC BASED DTC OF THREE-PHASE INDUCTION MOTOR

CPPM Mahine: A Synchronous Permanent Magnet Machine with Field Weakening

MATLAB SIMULINK Based DQ Modeling and Dynamic Characteristics of Three Phase Self Excited Induction Generator

EFFICIENCY OPTIMIZATION OF PMSM BASED DRIVE SYSTEM WALEED J. HASSAN

Transcription:

SSRG International Journal of Electrical and Electronics Engineering (SSRG-IJEEE) volume 2 Issue 5 May 215 Torque Ripple Minimization of BLDC Motor by Using Vector Control R.keerthi Paul 1, P.Pradeep 2 (PG Student, Dept. of EEE, DVR & Dr. HS MIC College of Technology, Andhra Pradesh, India) 1 (Assistant Professor, Dept. of EEE, DVR & Dr. HS MIC College of Technology, Andhra Pradesh, India) 2 ABATRACT: This paper provides an alternative approach to reduce torque ripple in Square-wave PM Motors (BLDC motor). Instead of conventional square-wave form, the method uses the principle of vector control to optimally design the wave-form of reference current in such a way that the torque ripple is minimal. The proposed Vector Control has advantage of the torque ripple is greatly reduced, and the flux weakening for constant-power high-speed mode can be achieved by injecting a negative d-axis current into the control system, just like for the case of PM Synchronous Motors (sine type machines) Keywords-- Brushless DC motor, Trapezoidal type machine, PM synchronous motor, Sine type machine, Vector control, Torque ripple minimization I. INTRODUCTION a. Sine-wave PM Motor vs. Square-wave Motor: Vector Control vs. Phase Current Control With the recent development of permanent magnet (PM) materials, PM (brushless) motors have become more and more popular and find their applications in a wide range of fields: industry, office use machines, house appliances, space equipments. The use of permanent magnets has great advantage in that the created magnetic field is high-density and without loss, providing a high-efficiency operation of the whole drive. PM motors can be divided into 2 categories depending on its current wave-form. Sine-wave PM motor, which is also called PM synchronous motor (PMSM), is fed by sine-wave current supply; Square-wave PM motor that is fed by square-wave current and it is often called Brushless DC Motor(BLDCM). The main difference between two kinds of motors from the control viewpoint resides on current control techniques and on the torque quality. The torque produced in a sine-wave PM motor is smooth as a result of the interaction between the sinusoidal stator current and the sinusoidal rotor flux. High performance PM synchronous motor drives are regulated by the well-known vector control method, in which motor currents are controlled in synchronously rotating d-q frame. Rotor position at any instant (measured by a high resolution position sensor, or estimated by an observer) is the mandatory requirement in the high-performance vector control method. Vector control method cannot however be utilized for BLDCMs, due to the fact that terminal variables (currents, voltages) and back-emfs waveform are not sinusoidal. Therefore, the phase current control technique is normally employed for this kind of motor. The control technique is relatively simple because the square-wave reference currents can be generated in a step manner, every 36/(m*p) electrical degrees, where m is the number of phases, p is the pole-pair number. Hence, low cost Hall-effect sensors served as position sensor are enough for the control purpose. Simplicity in control, BLDCMs suffer however from a big drawback: because of phase commutation, the torque is not as smooth as that produced by their counterpart, sine wave PM motors. A BLDCM is, moreover, recognized as having the highest torque and power capability for a given size and weight due to its (quasi) square-wave current and trapezoidal form of back-emf. In addition to that, a BLDCM also presents the cost advantage over the sine-wave PM motor, due to its construction and winding. Therefore, it seems to be evident that if the torque ripple in BLDCM can be overcome, this kind of motor would become a very attractive solution for many industrial and houseappliances applications. b. Torque ripple in BLDCM and its reduction techniques Torque ripple is the main concern of the BLDCM because it limits this kind of motor from many applications. There are three main sources of torque production (and therefore of the torque ripple) in BLDCMs: cogging torque, reluctance torque, and mutual torque. The torque ripple can be reduced by (a) motor design; (b) control means; (c) or both of them. If in a BLDCM, either stator slots or rotor magnets are skewed by one slot pitch, the effect of the first two torque components is greatly reduced. Therefore, if the waveforms of phase back-emfs and the phase currents are perfectly matched, torque ripple is minimized. However, perfect matching phase back-emf and phase current is very difficult ISSN: 2348 8379 www.internationaljournalssrg.org Page 1

SSRG International Journal of Electrical and Electronics Engineering (SSRG-IJEEE) volume 2 Issue 5 May 215 considering unbalanced magnetization and imperfect windings [1]. Moreover, due to the finite cut-off frequency of the current control loop, the transient error of the controlled currents always occurs, especially in commutation instants, when the current profile changes drastically and also, the turn-on and turn-off characteristics of the power devices are not identical. This is one of the most critical problems in control of BLDCM drives. We can find in literature a lot of efforts to reduce the torque ripple. [2-6] are only some to name. Le-Huy, Perret and Feuillit [2] analyzed the torque by using Fourier series and shown that the torque ripple can be reduced by appropriately injecting selected current harmonics to eliminate the torque ripple components. Yong Liu, Z. Q. Zhu and David Howe [5] utilized DTC to reduce torque ripple in addition to increasing torque dynamics. Haifeng Lu, Lei Zhang and Wenlong Qu [6] calculated duty cycles in the torque controller considering un-ideal back EMFs. C. Purpose of the present work. The objective of the present work is to provide an alternative approach to reduce torque ripple in BLDCM drive. Instead of conventional square-wave form, the method uses the principle of vector control to optimally design the waveform of reference current in such a way that the torque ripple is minimal. The currents are however still controlled in the phase current control manner. II. SYSTEM CONFIGURATION The configuration of the control system proposed in this paper is described in Fig. 2 where the part generating current references is marked by the break-line frame It can be noted that except for the current reference generation part, the system is nearly the same as of the conventional control system for BLDC motor. The motor is fed by a SVPWMcontrolled inverter. As we can see in Figs. 2, the currents are controlled by 2 current controllers in stationary frame. By convention, the superscript * refers to the reference variables and quantities. The reference currents generating part of the proposed vector Control is consisted of 2 blocks, as shown in Fig.2, corresponding to their function that will be described later. In order to perform the direct transformation and the invert one, the rotor position will be calculated by θe. III. MATHEMATICAL MODEL OF BLDC MODEL Typically, the mathematical model of a brushless DC motor is not totally different from the conventional DC motor. The major difference is the phases involved in the operation of BLDC motor drive will peculiarly affect the resistive and the inductive nature of the BLDC model arrangement. The mathematical model of the BLDC motor is modeled based on the equations illustrated below Fig 1:Electrical equalent circuit of BLDC Motor The coupled equations of stator windings in terms of motor electrical constraints are Van = i a R + e a + L (di a dt) (1) Van = i b R + e b + L (di b dt) (2) Van = i c R + e c + L (di c dt) (3) Where L - armature self-inductance H Va,Vb, Vc - Terminal phase Voltages V R - Armature resistance Ω i a,i b, i c - Motor input currents e a,e b,e c - Motor Back emf''s V The electromagnetic torque is given by T e = e a i a + e b i b + e c i 1 c (4) ωm where Te is the electromagnetic torque and m is the motor mechanical angular speed. The instantaneous induced emf 's can be written as e a = f a (θ r ) λ p ω m (5) e b = f b (θ r ) λ p ω m (6) e c = fc (θ r ) λ p ω m (7) Where the functions f a(θ r ), f b(θ r ), f c(θ r ) have same shape as induce emf s and λp is rotor magnetic flux linkage(wb).the equation of motion for a simple ISSN: 2348 8379 www.internationaljournalssrg.org Page 11

SSRG International Journal of Electrical and Electronics Engineering (SSRG-IJEEE) volume 2 Issue 5 May 215 system with inertia J, friction coefficient B, and load torque T 1 is J dωm dθ +B ω m = Te - Tl (8) i * d + current controller i d inverse v d SV s a INVERTER i * q + current controller i q park transfo rmatio v q PWM s b s c BLDC Motor LOAD n θ e Rotor position sencer i q i d park trans form ation i α i β a-b-c to d-q i a i b i c Fig. 2. Typical block-diagram of Vector Control for BLDC drives ws1 3 id_ref PI Scope2 PI PI Scope4 iq I_apha Valpha id I_beta Theta Vbeta park_inv Scope3 Sa V_ds Sb V_qs Sc SVPWM1 Sa Van Sb Vbn Sc Vcn Inverter1 T_mech1 Ia Tm Ib Ic theta e w va ea eb ec vb v ds v qs ids iqs vc Te Model of Brush-less DC Motor Scope7 Scope8 Scope5 6/(2*pi) Scope Id I_alpha I_alpha is_abc I_beta I_beta Iq Theta clarke park Fig. 3. Typical block-diagram of proposed Vector Control for BLDC drives ISSN: 2348 8379 www.internationaljournalssrg.org Page 12

speed Speed(rpm) Torque(Nm) Voltage SSRG International Journal of Electrical and Electronics Engineering (SSRG-IJEEE) volume 2 Issue 5 May 215.2 Rotor speed (rpm).15 The back-emf in d-q frame i d, i q, are obtained from phase EMF i α i β by Park s transformation. As previously mentioned, the zero-sequence current i is forced to be zero in our system, so only v d and vq need to be calculated using simplified Park s transformation. M= 2 3 cos (θ e ) cos (θ e 2π 3 ) cos(θ e + 2π 3 ) sin (θ e ) sin (θ e 2π 3 ) sin(θ e + 2π 3 ) where θ e is the rotor position θ e = ω e. t with ω e is the electrical angular speed ω e =(ω m. p) ω m is the motor (mechanical) angular speed and p is the polepair number. Having calculated v d, v q, the 3 phase reference currents id, i q,, θe are obtained by inverse Park transformation M -1. cos θe sin θe M -1 = cos (θ e 2π ) sin (θ 3 e 2π ) 3 cos(θ e + 2π 3 ) sin (θ e + 2π 3 ) VI. RESULT AND DISCUSSION The simulation results of BLDC motor performance can be critically evaluated under various input parameters in the MATLAB/SIMULINK environment. Fig 4 (a) speed response of the BLDCM drive with the hysteresis control 16 Rotor speed (rpm).1.5 -.5 -.1 -.15 -.2.96.965.97.975.98.985.99.995 1 fig 4 (b) shows the three phase back EMF of the hysteresis control for BLDCM (c) Load Torque response of BLDCM with hysteresis control 3 25 2 15 1 5-5 Time Hysterysis Control -1.4.45.5.55.6.65 fig 4 (c) shows the torque response of the motor at.5 sec with 1N-m load applied and this load torque ripples minimized at.6 sec and the 1N-m is applied at.6 sec The simulation results of the hysteresis Control for the BLDCM drives is reported in the above figures and the proposed vector control of BLDCM results is shown in below Figure 5 (a) speed response of the BLDCM drive with the vector control 14 16 12 14 1 12 8 1 6 8 4 6 2 4.2.4.6.8.1.12.14.16.18.2 Time fig 4 (a) shows the plot of time Vs speed where the BLDC motor attains a reference speed of 15rpm at.4 sec. (b) Three phase back EMF response 2.2.4.6.8.1.12.14.16.18.2 fig 5 (a) shows the plot of time Vs speed where the BLDC motor attains a reference speed of 15rpm at.1 sec. ISSN: 2348 8379 www.internationaljournalssrg.org Page 13

Torque(Nm) Torque(Nm) Currents SSRG International Journal of Electrical and Electronics Engineering (SSRG-IJEEE) volume 2 Issue 5 May 215 (b) Three phase back EMF response 15 1 5-5 -1-15.96.965.97.975.98.985.99.995 1 fig 5 (b) shows the trapezoidal three phase back EMF of the of BLDCM which is not obtained in the hysteresis control of BLDCM method. (c) Load Torque response of BLDCM with hysteresis control 2 15 1 5-5 Currents Time -1.4.45.5.55.6.65 fig 5 (c) shows the torque response of the motor at.5 sec with 1N-m load applied and this load torque ripples minimized at.55 sec and this is noticeable. (d) Load Torque response of BLDCM 2 15 1 5-5 Vector control Vector control Hysterysis Control -1.4.45.5.55.6.65 fig 5 (d) shows the torque comparison between the hysteresis control and vector control techniques. IV. CONCLUSION The vector Control has been presented in this paper in order to improve the performance of the Brushless DC Motor drives. The vector-control principle in d-q synchronously rotating frame is utilized for the generation of current references only, and the motor currents are regulated, as usual for PM trapezoidal type machines, by individual phase current control in the stationary a-b-c frame. The performance of the proposed Control has been tested in simulation in the Matlab/Simulink environment and the results have been compared with those of the conventional phase current control method. The improvement in torque ripple reduction has been obtained. The VC can therefore be a very promising method for applications using BLDCM. REFERENCES [1] J.R. Hendershot Jr., T. J. E. Miller, Design of Brushless Permanent-Magnet Motors, Magna Physics Publications Oxford Science Publications, 1994. [2] H. Le-Huy, R. Perret, and R. Feuillet, Minimization of torque ripple in brushless DC motor drive, IEEE Transactions on Industry Applications, vol. 22, July/Aug. 1986, pp. 748 755. [3] Joachim Holtz, Identification and Compensation of Torque Ripple in High-Precision Permanent Magnet Motor Drives, IEEE Transactions on Industrial Electronics, vol. 43, no.2, April 1996, pp. 39 32. [4] Thomas M. Jahns and Wen L. Soong, Pulsating Torque Minimization Techniques for Permanent Magnet AC Motor Drives - A Review,IEEE Tran. on Ind. Electronics, vol. 43, no. 2, April 1996, pp. 321 33. [5] Yong Liu, Z. Q. Zhu and David Howe, Direct Torque Control of Brushless DC Drives With Reduced Torque Ripple, IEEE Tran. on Industry Applications, vol. 41, no. 2, March/April 25, pp. 599 68. [6] Haifeng Lu, Lei Zhang and Wenlong Qu, A New Torque Control Method for Torque Ripple Minimization of BLDC Motors With Un-Ideal Back EMF, IEEE Transactions on Power Electronics, vol. 23, no. 2, March 28, pp. 95 958. [7] Y. Liu, Z. Q. Zhu, and D. Howe, Direct torque control of brushless DC drives with reduced torque ripple, IEEE Trans. Ind. Appl., vol. 41, no. 2,pp. 599 68, Mar./Apr. 25. 8] S. B. Ozturk, W. C. Alexander, and H. A. Toliyat, Direct torque control of four-switch brushless DC motor with nonsinusoidal back EMF, IEEE Trans. Power Electron., vol. 25, no. 2, pp. 263-271, 21. [9] F. Jiancheng, L. Haitao, and H. Bangcheng, Torque ripple reduction in BLDC torque motor with non-ideal back EMF, IEEE Trans. Power Electron., vol. 27, no. 11, pp. 463-4637, 212. [1] Z. Q. Zhu, and J. H. Leong, Analysis and mitigation of torsional vibration of PM brushless AC/DC drives with direct torque controller,ieeetrans. Ind. Appl., vol. 48, no. 4, pp. 1296-136, 212. [11] S. B. Ozturk, and H. A. Toliyat, Direct torque and indirect flux control of brushless DC motor, IEEE Trans. Mechatronics, vol. 16, no. 2, pp 351-36, 211. [12] P. J. Sung, W. P. Han, L. H. Man, and F.Harashima, A new approach for minimum-torque-ripple maximum-efficiency control of BLDC motor, IEEE Trans. Ind. Electron., vol. 47, no. 1, pp. 19-114, 2. [13] C. S. Joice, S. R. Paranjothi, and V. J. S. Kumar, Digital control strategy for four quadrant operation of three phase BLDC motor with load variations, IEEE Trans. Ind. Appl., vol. 9, no. 2, pp. 974-982, 213. ISSN: 2348 8379 www.internationaljournalssrg.org Page 14

SSRG International Journal of Electrical and Electronics Engineering (SSRG-IJEEE) volume 2 Issue 5 May 215 [14] J. Fang, X. Zhou, and G. Liu, Instantaneous torque control of small inductance brushless DC motor, IEEE Trans. Power. Electron., vol. 27,no. 12, pp. 4952-4964, 212. [15] Y. Liu, Z. Q. Zhu, and D. Howe, Instantaneous torque estimation in sensor less direct torque controlled brushless DC motors, IEEE Trans, Ind. Appl., vol. 42, no. 5, pp. 1275 1283, Sep./Oct. 26. [16] Z. Q. Zhu, Y. Liu, and D. Howe, Comparison of performance of brushless DC drives under direct torque control and PWM current control, KoreanIEE Int. Trans. Elect. Mach. Energy Conversion. Syst., vol. 5-B, no. 4,pp. 337 342, 25 ISSN: 2348 8379 www.internationaljournalssrg.org Page 15