SlideShare a Scribd company logo
1 of 5
Download to read offline
V. V. Ram Vikas et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 4( Version 4), April 2014, pp.37-41
www.ijera.com 37 | P a g e
Speed Control of Bldc Motor Drive By Using Pid Controllers
*Y.Narendra Kumar, ** P.Eswara Rao, **P. Vijay Varma, **V. V. Ram Vikas,
**P. Kasi Naidu
*Professor, Department of EEE, Lendi Isnstitute of Engineering and Technology, VIZIANAGARAM, A.P,
INDIA.
**Under graduation in department of EEE, Lendi Isnstitute of Engineering and Technology,
VIZIANAGARAM, A.P,INDIA.
ABSTRACT
This paper mainly deals with the Brushless DC (BLDC) motor speed driving systems have sprouted in various
small scale and large scale applications like automobile industries, domestic appliances etc. This leads to the
development in Brushless DC motor (BLDCM). The usage of BLDC Motor enhances various performance
factors ranging from higher efficiency, higher torque in low-speed range, high power density ,low maintenance
and less noise than other motors. The BLDC Motor can act as an alternative for traditional motors like induction
and switched reluctance motors. In this paper PID controller is implemented with speed feedback loop and it is
observe that torque ripples are minimized. Simulation is carried out using MATLAB / SIMULINK. The results
show that the performance of BLDC Motor is quite satisfactory for various loading conditions. Brushless DC
motor drives are typically employed in speed controlled applications.
Key words: PID, PI, BLDC, MATLAB/SIMULINK
I. INTRODUCTION
Brushless DC (BLDC) motors are
synchronous motors with permanent magnets on the
rotor and armature windings on the stator. Hence,
from a construction point of view, they are the inside-
out version of DC motors, which have permanent
magnets or field windings on the stator and armature
windings on the rotor.
The most obvious advantage of the brushless
configuration is the removal of the brushes, which
eliminates brush maintenance and the sparking
associated with them. Having the armature windings
on the stator helps the conduction of heat from the
windings. Because there are no windings on the rotor,
electrical losses in the rotor are minimal. The BLDC
motor compares favorably with induction motors in
the fractional horsepower range. The former will
have better efficiency and better power factor and,
therefore, a greater output power for the same frame,
because the field excitation is contributed by the
permanent magnets and does not have to be supplied
by the armature current. These advantages of the
BLDC motor come at the expense of increased
complexity in the electronic controller and the need
for shaft position sensing. Permanent magnet (PM)
excitation is more viable in smaller motors, usually
below 20 kW. In larger motors, the cost and weight
of the magnets become excessive, and it would make
more sense to opt for excitation by electromagnetic
or induction means. However, with the development
of high-field PM materials, PM motors with ratings
of a few megawatts have been built. The direct torque
control (DTC) techniques, implemented in six-switch
inverter, for brushless dc (BLDC) motors with non-
sinusoidal back-EMF using two and three-phase
conduction modes. First of all, the classical direct
torque control of permanent magnet synchronous
motor (PMSM) with sinusoidal back-EMF is
discussed in detail. Secondly, the proposed two-phase
conduction mode for DTC of BLDC motors is
introduced in the constant torque region. In this
control scheme, only two phases conduct at any
instant of time using a six-switch inverter. By
properly selecting the inverter voltage space vectors
of the two-phase conduction mode from a simple
look-up table the desired quasi-square wave current is
obtained. Therefore, it is possible to achieve DTC of
a BLDC motor drive with faster torque response
while the stator flux linkage amplitude is deliberately
kept almost constant by ignoring the flux control in
the constant torque region. Direct Torque Control
(DTC) is the direct control of torque and stator flux
of a drive by inverter voltage space vector selection
through a look up table. A relationship is established
between the torque, the flux and the optimal inverter
switching so as to achieve a fast torque response and
reduced torque ripple. It exhibits better dynamic
performance than conventional control methods, less
sensitive to parameter variations and is simpler to
implement. The speed control loop of DTC should be
cautiously designed to improve the dynamics of
brushless dc (BLDC) motor drive for high
RESEARCH ARTICLE OPEN ACCESS
V. V. Ram Vikas et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 4( Version 4), April 2014, pp.37-41
www.ijera.com 38 | P a g e
performance applications. It is not easy to formal an
exact mathematical model of BLDC motor.
Mathematical Modeling of BLDC
The non-sinusoidal nature of the back-emf
and current waveforms, transformation of the
machine equations to the d-q model is cumbersome,
and it is easier to use the phase-variable approach for
modeling and simulation. The back-emf can be
represented as a Fourier series or by using piecewise
linear curves. The circuit equations of the three
windings in phase variables can be written as
𝑉𝑎
𝑉𝑏
𝑉𝑐
=
𝑅 0 0
0 𝑅 0
0 0 𝑅
𝑖𝑎
𝑖𝑏
𝑖𝑐
+
𝐿 − 𝑀 0 0
0 𝐿 − 𝑀 0
0 0 𝐿 − 𝑀
𝑑
𝑑𝑡
𝑖𝑎
𝑖𝑏
𝑖𝑐
+
𝑒𝑎
𝑒𝑏
𝑒𝑐
Where, Va,Vb,Vc are the phase voltages, ia,ib,ic are
the phase currents, ea,eb,ec are the phase back-emf
voltages is the phase resistance, L is the self-
inductance of each phase, and M is the mutual
inductance between any two phases. The
electromagnetic torque is given by
Te= (eaia+ebib+ecicwm
Where Wm is the mechanical speed of the rotor. The
equation of motion is
d
dt
Wm = Te − Tl − BWm /J
Where TL is the load torque, B is the damping
constant, and J is the moment of inertia of the drive.
The electrical frequency is related to the mechanical
speed by
We= P2wm
Where P is the number of rotor poles. In stationary α-
β reference frame Te is expressed as
Te=
3p
4
dΨrα
dθe
isα +
dΨrβ
dθe
isβ
Where 𝛹𝑟 α, 𝛹𝑟β are the and axes rotor flux linkages
and
Ψrα = Ψsα- Ls isα
Ψrβ = Ψsβ- Ls isβ
Where Ls is the stator winding inductance.
The application of BLDC drives is based on the flux
linkage observers. The stator flux linkage vector can
be obtained from the measured stator voltages and
currents by using the following equations.
Ψs=∫(us-R is) dt
The α and β components of stator flux linkage vector
are given by
Ψsα =∫(usα -R isα) dt
Ψsβ =∫(us β -R is β) dt
The magnitude and angular position of the
stator flux-linkage vector can be derived from Ψsα
and Ψsβ as
Ψ= 𝚿2 𝐬α + 𝚿2 𝐬β
In a BLDC drive only two phases are
conducting in the120º conduction mode, except
during commutation periods when all three phases
conduct, the unexcited phase conducting through the
freewheeling diode. Since the upper and lower
switches in the same phase leg may both be
simultaneously off in BLDC drive, six digits are
required to represent the states of the inverter
switches one digit for each switch. Thus the voltage
space vectors v1, v2, v3, v4, v5 andv6 are
represented as switching signals (100001), (001001),
(011000), (010010), (000110) and (100100)
respectively, where from left to right, the logical
values express the states of the upper and lower
switching signals for phases A, B, C respectively.
The zero voltage space vector is defined as(000000).
V. V. Ram Vikas et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 4( Version 4), April 2014, pp.37-41
www.ijera.com 39 | P a g e
II. PID CONTROLLER
The family of PID controllers is constructed
from various combinations of the proportional,
integral and derivative terms as required to meet
specific performance requirements. The formula for
the basic parallel PID controller is (Transfer function
PID controller formula)
Uc(t)=[Kp+Ki
1
𝑠
+KdS] E(s)
Time-domain PID controller formula
Uc(t)=Kpe(t)+K 𝑒 𝑡 𝑑𝑇
𝑡
𝐼
+Kd
𝑑𝑒
𝑑𝑡
III. SIMULATION BLOCK
Fig 1 .SIMULATION MODEL OF PID CONTROLLER BLDC DRIVE
V. V. Ram Vikas et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 4( Version 4), April 2014, pp.37-41
www.ijera.com 40 | P a g e
IV. SIMULATION RESULTS
Fig 2.RESPONSE OF SPEED DURING LOAD CHANGES.
Fig 3: RESPONSE OF VOLTAGE DURING LOAD CHANGES
Fig 4: TORQUE RESPONSE DURING LOAD CHANGES
V. V. Ram Vikas et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 4( Version 4), April 2014, pp.37-41
www.ijera.com 41 | P a g e
V. CONCLUSION
By comparing the performances of
Permanent-magnet brushless dc motor with PI and
PID controller it is concluded that PID response gives
high efficiency. Due to this high efficiency, higher
torque will be produced in low-speed range, and it
has high power density, low maintenance and less
noise than other motors. In this paper closed loop
speed control of BLDC motor drive with PID
controller loop is carried out and it is compared with
PI controller fed BLDC drive. Simulation results
shows that current ripple and torque ripple are
minimized which enhance the performance of the
drive. The results show that the dynamic performance
of the motor is quite satisfactory for various loading
conditions.
REFERENCES
[1] R. Civilian, and D. Stupak, "Disk drive
employing multi mode spindle drive
system," US patent 5471353, Oct 3, 1995.
[2] G.H. Jang and M.G. Kim, “A Bipolar-
Starting and Unipolar-Running Method to
Drive an HDD Spindle Motor at High Speed
with Large Starting Torque,” IEEE
Transactions on Magnetics, Vol. 41, no.2,
pp. 750-755, Feb. 2005.
[3] E.Grochowski and R.F. Hyot,”Future trends
in hard disk drives”,IEEE Tran. On
Magnetics, vol.32, no.3, pp1850-1854, May
1996.
[4] J.D.Ede, ,Z.Q.Zhu and D.Howe,”Optimal
split ratio control for high speed permanent
magnet brushless DC motors”, in Proc.5th
Int,Conf..Electrical Machines and Sytems’,
vol.2,Aug 2001,pp 909-912
[5] S.X.Chen, M.A.Jabbar, O.D. Zhang and
Z.J.Lie,”New Challenge: Electromagnetic
design of BLDC motors for high speed fluid
film bearing spindles used in hard disk
drives”,IEEE Trans. Magnetics ,vol32,no.5,
pp3854-3856,Sep. 1996.
[6] P.Pillay and R.Krishnan, “Modeling,
simulation and analysis of Permanent-
magnet motor drives, part-II: the brushless
DC motor drives,” IEEE Trans. on Industry
Applications, vol. 25, pp.274- 279,
March/April1989.
[7] “Simulation of four quadrant operation &
speed control of BLDC motor on
MATLAB/SIMULINK,” in Proc. IEEE
Region 10 Conference, 2008, pp. 1–6.
[8] C. S. Joice and Dr. S R Paranojothi, “Digital
control strategy for four quadrant operation
of three -phase BLDC Motor with Load
variations;” IEEE Trans. Industrial
Informatics, vol. 9, n0. 2, May 2013.

More Related Content

What's hot

RGPV DIPLOMA EX305 UNIT II
RGPV DIPLOMA EX305 UNIT IIRGPV DIPLOMA EX305 UNIT II
RGPV DIPLOMA EX305 UNIT IIMani Deep Dutt
 
RGPV DIPLOMA EX305 UNIT III
RGPV DIPLOMA EX305 UNIT IIIRGPV DIPLOMA EX305 UNIT III
RGPV DIPLOMA EX305 UNIT IIIMani Deep Dutt
 
FAULT ANALYSIS USING PSCAD/EMTDC for 150 kV SOUTH SULAWESI TRANSMISSION SYSTEM
 FAULT ANALYSIS USING PSCAD/EMTDC for 150 kV SOUTH SULAWESI TRANSMISSION SYSTEM FAULT ANALYSIS USING PSCAD/EMTDC for 150 kV SOUTH SULAWESI TRANSMISSION SYSTEM
FAULT ANALYSIS USING PSCAD/EMTDC for 150 kV SOUTH SULAWESI TRANSMISSION SYSTEMPoliteknik Negeri Ujung Pandang
 
Commutation torque ripple in bldc by sepic and npc
Commutation torque ripple in bldc by sepic and npcCommutation torque ripple in bldc by sepic and npc
Commutation torque ripple in bldc by sepic and npcKollimarla Pavankumar
 
The Impact of Line Resistance on the Performance of Controllable Series Compe...
The Impact of Line Resistance on the Performance of Controllable Series Compe...The Impact of Line Resistance on the Performance of Controllable Series Compe...
The Impact of Line Resistance on the Performance of Controllable Series Compe...Editor Jacotech
 
Control And Programingof Synchronous Generator
Control And Programingof Synchronous GeneratorControl And Programingof Synchronous Generator
Control And Programingof Synchronous Generatorfreelay
 
Torque Ripple Minimization of a BLDC Motor Drive by Using Electronic Commutat...
Torque Ripple Minimization of a BLDC Motor Drive by Using Electronic Commutat...Torque Ripple Minimization of a BLDC Motor Drive by Using Electronic Commutat...
Torque Ripple Minimization of a BLDC Motor Drive by Using Electronic Commutat...AI Publications
 
A Review on Performance Analysis of Matrix Converter Fed AC Motor Drive
A Review on Performance Analysis of Matrix Converter Fed AC Motor DriveA Review on Performance Analysis of Matrix Converter Fed AC Motor Drive
A Review on Performance Analysis of Matrix Converter Fed AC Motor DriveIAES-IJPEDS
 
Fuzzy logic Control & Minimizing Commutation Torque Ripple for Brushless DC M...
Fuzzy logic Control & Minimizing Commutation Torque Ripple for Brushless DC M...Fuzzy logic Control & Minimizing Commutation Torque Ripple for Brushless DC M...
Fuzzy logic Control & Minimizing Commutation Torque Ripple for Brushless DC M...Editor IJMTER
 
Application of SVC on IEEE 6 Bus System for Optimization of Voltage Stability
Application of SVC on IEEE 6 Bus System for Optimization of Voltage StabilityApplication of SVC on IEEE 6 Bus System for Optimization of Voltage Stability
Application of SVC on IEEE 6 Bus System for Optimization of Voltage Stabilityijeei-iaes
 
Unit 2 Reactive Power Management
Unit 2 Reactive Power ManagementUnit 2 Reactive Power Management
Unit 2 Reactive Power ManagementSANTOSH GADEKAR
 
Simulation Of A 4-Switch,3-Phase Inverter Fed Induction Motor (IM) Drive System
Simulation Of A 4-Switch,3-Phase Inverter Fed Induction Motor (IM) Drive SystemSimulation Of A 4-Switch,3-Phase Inverter Fed Induction Motor (IM) Drive System
Simulation Of A 4-Switch,3-Phase Inverter Fed Induction Motor (IM) Drive Systemijiert bestjournal
 
Power System Stability Enhancement Using Static Synchronous Series Compensato...
Power System Stability Enhancement Using Static Synchronous Series Compensato...Power System Stability Enhancement Using Static Synchronous Series Compensato...
Power System Stability Enhancement Using Static Synchronous Series Compensato...IJMER
 
PID Compensator Control Scheme of Synchronous Buck DC-DC Converter with ZVS L...
PID Compensator Control Scheme of Synchronous Buck DC-DC Converter with ZVS L...PID Compensator Control Scheme of Synchronous Buck DC-DC Converter with ZVS L...
PID Compensator Control Scheme of Synchronous Buck DC-DC Converter with ZVS L...IJRES Journal
 

What's hot (20)

RGPV DIPLOMA EX305 UNIT II
RGPV DIPLOMA EX305 UNIT IIRGPV DIPLOMA EX305 UNIT II
RGPV DIPLOMA EX305 UNIT II
 
Unit1 8
Unit1 8Unit1 8
Unit1 8
 
RGPV DIPLOMA EX305 UNIT III
RGPV DIPLOMA EX305 UNIT IIIRGPV DIPLOMA EX305 UNIT III
RGPV DIPLOMA EX305 UNIT III
 
FAULT ANALYSIS USING PSCAD/EMTDC for 150 kV SOUTH SULAWESI TRANSMISSION SYSTEM
 FAULT ANALYSIS USING PSCAD/EMTDC for 150 kV SOUTH SULAWESI TRANSMISSION SYSTEM FAULT ANALYSIS USING PSCAD/EMTDC for 150 kV SOUTH SULAWESI TRANSMISSION SYSTEM
FAULT ANALYSIS USING PSCAD/EMTDC for 150 kV SOUTH SULAWESI TRANSMISSION SYSTEM
 
Bee016 facts
Bee016 factsBee016 facts
Bee016 facts
 
Performance Comparison of Star Connected Cascaded STATCOM Using Different PWM...
Performance Comparison of Star Connected Cascaded STATCOM Using Different PWM...Performance Comparison of Star Connected Cascaded STATCOM Using Different PWM...
Performance Comparison of Star Connected Cascaded STATCOM Using Different PWM...
 
Commutation torque ripple in bldc by sepic and npc
Commutation torque ripple in bldc by sepic and npcCommutation torque ripple in bldc by sepic and npc
Commutation torque ripple in bldc by sepic and npc
 
The Impact of Line Resistance on the Performance of Controllable Series Compe...
The Impact of Line Resistance on the Performance of Controllable Series Compe...The Impact of Line Resistance on the Performance of Controllable Series Compe...
The Impact of Line Resistance on the Performance of Controllable Series Compe...
 
Control And Programingof Synchronous Generator
Control And Programingof Synchronous GeneratorControl And Programingof Synchronous Generator
Control And Programingof Synchronous Generator
 
Power System Stability Introduction
Power System Stability IntroductionPower System Stability Introduction
Power System Stability Introduction
 
Level Shifted Discontinuous PWM Algorithms to Minimize Common Mode Voltage fo...
Level Shifted Discontinuous PWM Algorithms to Minimize Common Mode Voltage fo...Level Shifted Discontinuous PWM Algorithms to Minimize Common Mode Voltage fo...
Level Shifted Discontinuous PWM Algorithms to Minimize Common Mode Voltage fo...
 
Performance Analysis of FC-TCR
Performance Analysis of FC-TCRPerformance Analysis of FC-TCR
Performance Analysis of FC-TCR
 
Torque Ripple Minimization of a BLDC Motor Drive by Using Electronic Commutat...
Torque Ripple Minimization of a BLDC Motor Drive by Using Electronic Commutat...Torque Ripple Minimization of a BLDC Motor Drive by Using Electronic Commutat...
Torque Ripple Minimization of a BLDC Motor Drive by Using Electronic Commutat...
 
A Review on Performance Analysis of Matrix Converter Fed AC Motor Drive
A Review on Performance Analysis of Matrix Converter Fed AC Motor DriveA Review on Performance Analysis of Matrix Converter Fed AC Motor Drive
A Review on Performance Analysis of Matrix Converter Fed AC Motor Drive
 
Fuzzy logic Control & Minimizing Commutation Torque Ripple for Brushless DC M...
Fuzzy logic Control & Minimizing Commutation Torque Ripple for Brushless DC M...Fuzzy logic Control & Minimizing Commutation Torque Ripple for Brushless DC M...
Fuzzy logic Control & Minimizing Commutation Torque Ripple for Brushless DC M...
 
Application of SVC on IEEE 6 Bus System for Optimization of Voltage Stability
Application of SVC on IEEE 6 Bus System for Optimization of Voltage StabilityApplication of SVC on IEEE 6 Bus System for Optimization of Voltage Stability
Application of SVC on IEEE 6 Bus System for Optimization of Voltage Stability
 
Unit 2 Reactive Power Management
Unit 2 Reactive Power ManagementUnit 2 Reactive Power Management
Unit 2 Reactive Power Management
 
Simulation Of A 4-Switch,3-Phase Inverter Fed Induction Motor (IM) Drive System
Simulation Of A 4-Switch,3-Phase Inverter Fed Induction Motor (IM) Drive SystemSimulation Of A 4-Switch,3-Phase Inverter Fed Induction Motor (IM) Drive System
Simulation Of A 4-Switch,3-Phase Inverter Fed Induction Motor (IM) Drive System
 
Power System Stability Enhancement Using Static Synchronous Series Compensato...
Power System Stability Enhancement Using Static Synchronous Series Compensato...Power System Stability Enhancement Using Static Synchronous Series Compensato...
Power System Stability Enhancement Using Static Synchronous Series Compensato...
 
PID Compensator Control Scheme of Synchronous Buck DC-DC Converter with ZVS L...
PID Compensator Control Scheme of Synchronous Buck DC-DC Converter with ZVS L...PID Compensator Control Scheme of Synchronous Buck DC-DC Converter with ZVS L...
PID Compensator Control Scheme of Synchronous Buck DC-DC Converter with ZVS L...
 

Viewers also liked

Size and Time Estimation in Goal Graph Using Use Case Points (UCP): A Survey
Size and Time Estimation in Goal Graph Using Use Case Points (UCP): A SurveySize and Time Estimation in Goal Graph Using Use Case Points (UCP): A Survey
Size and Time Estimation in Goal Graph Using Use Case Points (UCP): A SurveyIJERA Editor
 
Early Detection of Lung Cancer Using Neural Network Techniques
Early Detection of Lung Cancer Using Neural Network TechniquesEarly Detection of Lung Cancer Using Neural Network Techniques
Early Detection of Lung Cancer Using Neural Network TechniquesIJERA Editor
 
The Development of Financial Information System and Business Intelligence Usi...
The Development of Financial Information System and Business Intelligence Usi...The Development of Financial Information System and Business Intelligence Usi...
The Development of Financial Information System and Business Intelligence Usi...IJERA Editor
 
An Overview on Authentication Approaches and Their Usability in Conjunction w...
An Overview on Authentication Approaches and Their Usability in Conjunction w...An Overview on Authentication Approaches and Their Usability in Conjunction w...
An Overview on Authentication Approaches and Their Usability in Conjunction w...IJERA Editor
 
A Multi-Objective Fuzzy Linear Programming Model for Cash Flow Management
A Multi-Objective Fuzzy Linear Programming Model for Cash Flow ManagementA Multi-Objective Fuzzy Linear Programming Model for Cash Flow Management
A Multi-Objective Fuzzy Linear Programming Model for Cash Flow ManagementIJERA Editor
 
Advanced Design of Composite Steel-Concrete Structural element
Advanced Design of Composite Steel-Concrete Structural elementAdvanced Design of Composite Steel-Concrete Structural element
Advanced Design of Composite Steel-Concrete Structural elementIJERA Editor
 

Viewers also liked (20)

H044045054
H044045054H044045054
H044045054
 
J44094650
J44094650J44094650
J44094650
 
H044023944
H044023944H044023944
H044023944
 
E44082429
E44082429E44082429
E44082429
 
G044063437
G044063437G044063437
G044063437
 
G044023238
G044023238G044023238
G044023238
 
O0447796
O0447796O0447796
O0447796
 
I0444751
I0444751I0444751
I0444751
 
F44092630
F44092630F44092630
F44092630
 
K44085861
K44085861K44085861
K44085861
 
L044026068
L044026068L044026068
L044026068
 
L044047379
L044047379L044047379
L044047379
 
J0460455055
J0460455055J0460455055
J0460455055
 
Size and Time Estimation in Goal Graph Using Use Case Points (UCP): A Survey
Size and Time Estimation in Goal Graph Using Use Case Points (UCP): A SurveySize and Time Estimation in Goal Graph Using Use Case Points (UCP): A Survey
Size and Time Estimation in Goal Graph Using Use Case Points (UCP): A Survey
 
Early Detection of Lung Cancer Using Neural Network Techniques
Early Detection of Lung Cancer Using Neural Network TechniquesEarly Detection of Lung Cancer Using Neural Network Techniques
Early Detection of Lung Cancer Using Neural Network Techniques
 
The Development of Financial Information System and Business Intelligence Usi...
The Development of Financial Information System and Business Intelligence Usi...The Development of Financial Information System and Business Intelligence Usi...
The Development of Financial Information System and Business Intelligence Usi...
 
An Overview on Authentication Approaches and Their Usability in Conjunction w...
An Overview on Authentication Approaches and Their Usability in Conjunction w...An Overview on Authentication Approaches and Their Usability in Conjunction w...
An Overview on Authentication Approaches and Their Usability in Conjunction w...
 
A Multi-Objective Fuzzy Linear Programming Model for Cash Flow Management
A Multi-Objective Fuzzy Linear Programming Model for Cash Flow ManagementA Multi-Objective Fuzzy Linear Programming Model for Cash Flow Management
A Multi-Objective Fuzzy Linear Programming Model for Cash Flow Management
 
Advanced Design of Composite Steel-Concrete Structural element
Advanced Design of Composite Steel-Concrete Structural elementAdvanced Design of Composite Steel-Concrete Structural element
Advanced Design of Composite Steel-Concrete Structural element
 
SIG-MÓDULO II
SIG-MÓDULO IISIG-MÓDULO II
SIG-MÓDULO II
 

Similar to F044043741

Closed Loop Speed Control of a BLDC Motor Drive Using Adaptive Fuzzy Tuned PI...
Closed Loop Speed Control of a BLDC Motor Drive Using Adaptive Fuzzy Tuned PI...Closed Loop Speed Control of a BLDC Motor Drive Using Adaptive Fuzzy Tuned PI...
Closed Loop Speed Control of a BLDC Motor Drive Using Adaptive Fuzzy Tuned PI...IJERA Editor
 
35.Speed_control_of_BLDC_motor.pdf
35.Speed_control_of_BLDC_motor.pdf35.Speed_control_of_BLDC_motor.pdf
35.Speed_control_of_BLDC_motor.pdfDharmendraDamor1
 
Performance & Analysis of Single-Phase Inverter Fed Three-phase Induction Mot...
Performance & Analysis of Single-Phase Inverter Fed Three-phase Induction Mot...Performance & Analysis of Single-Phase Inverter Fed Three-phase Induction Mot...
Performance & Analysis of Single-Phase Inverter Fed Three-phase Induction Mot...ijiert bestjournal
 
analysis of induction motor drive using slip power recovery scheme
analysis of induction motor drive using slip power recovery schemeanalysis of induction motor drive using slip power recovery scheme
analysis of induction motor drive using slip power recovery schemePrakash_13209
 
MODELLING AND IMPLEMENTATION OF AN IMPROVED DSVM SCHEME FOR PMSM DTC
MODELLING AND IMPLEMENTATION OF AN IMPROVED DSVM SCHEME FOR PMSM DTCMODELLING AND IMPLEMENTATION OF AN IMPROVED DSVM SCHEME FOR PMSM DTC
MODELLING AND IMPLEMENTATION OF AN IMPROVED DSVM SCHEME FOR PMSM DTCpaperpublications3
 
IRJET- Variable Frequency Drive Used in Treadmill
IRJET- Variable Frequency Drive Used in TreadmillIRJET- Variable Frequency Drive Used in Treadmill
IRJET- Variable Frequency Drive Used in TreadmillIRJET Journal
 
Power Quality Analysis of Vienna Rectifier for BLDC Motor Drive Application
Power Quality Analysis of Vienna Rectifier for BLDC Motor Drive ApplicationPower Quality Analysis of Vienna Rectifier for BLDC Motor Drive Application
Power Quality Analysis of Vienna Rectifier for BLDC Motor Drive ApplicationIJPEDS-IAES
 
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)ijceronline
 
L021201085091
L021201085091L021201085091
L021201085091theijes
 
78201910
7820191078201910
78201910IJRAT
 
Comparitive Analysis of Speed and Position Control of BLDC Motor via Field Or...
Comparitive Analysis of Speed and Position Control of BLDC Motor via Field Or...Comparitive Analysis of Speed and Position Control of BLDC Motor via Field Or...
Comparitive Analysis of Speed and Position Control of BLDC Motor via Field Or...IRJET Journal
 
IRJET- Phase Conversion of VFD based Induction Motor
IRJET- Phase Conversion of VFD based Induction MotorIRJET- Phase Conversion of VFD based Induction Motor
IRJET- Phase Conversion of VFD based Induction MotorIRJET Journal
 
Analysis and Simulation of Asynchronous Machine Connected with Load Accomplis...
Analysis and Simulation of Asynchronous Machine Connected with Load Accomplis...Analysis and Simulation of Asynchronous Machine Connected with Load Accomplis...
Analysis and Simulation of Asynchronous Machine Connected with Load Accomplis...YogeshIJTSRD
 

Similar to F044043741 (20)

Closed Loop Speed Control of a BLDC Motor Drive Using Adaptive Fuzzy Tuned PI...
Closed Loop Speed Control of a BLDC Motor Drive Using Adaptive Fuzzy Tuned PI...Closed Loop Speed Control of a BLDC Motor Drive Using Adaptive Fuzzy Tuned PI...
Closed Loop Speed Control of a BLDC Motor Drive Using Adaptive Fuzzy Tuned PI...
 
35.Speed_control_of_BLDC_motor.pdf
35.Speed_control_of_BLDC_motor.pdf35.Speed_control_of_BLDC_motor.pdf
35.Speed_control_of_BLDC_motor.pdf
 
Performance & Analysis of Single-Phase Inverter Fed Three-phase Induction Mot...
Performance & Analysis of Single-Phase Inverter Fed Three-phase Induction Mot...Performance & Analysis of Single-Phase Inverter Fed Three-phase Induction Mot...
Performance & Analysis of Single-Phase Inverter Fed Three-phase Induction Mot...
 
Dr32733737
Dr32733737Dr32733737
Dr32733737
 
Investigation of Slim Type BLDC Motor Drive with Torque Ripple Minimization u...
Investigation of Slim Type BLDC Motor Drive with Torque Ripple Minimization u...Investigation of Slim Type BLDC Motor Drive with Torque Ripple Minimization u...
Investigation of Slim Type BLDC Motor Drive with Torque Ripple Minimization u...
 
analysis of induction motor drive using slip power recovery scheme
analysis of induction motor drive using slip power recovery schemeanalysis of induction motor drive using slip power recovery scheme
analysis of induction motor drive using slip power recovery scheme
 
MODELLING AND IMPLEMENTATION OF AN IMPROVED DSVM SCHEME FOR PMSM DTC
MODELLING AND IMPLEMENTATION OF AN IMPROVED DSVM SCHEME FOR PMSM DTCMODELLING AND IMPLEMENTATION OF AN IMPROVED DSVM SCHEME FOR PMSM DTC
MODELLING AND IMPLEMENTATION OF AN IMPROVED DSVM SCHEME FOR PMSM DTC
 
IRJET- Variable Frequency Drive Used in Treadmill
IRJET- Variable Frequency Drive Used in TreadmillIRJET- Variable Frequency Drive Used in Treadmill
IRJET- Variable Frequency Drive Used in Treadmill
 
Power Quality Analysis of Vienna Rectifier for BLDC Motor Drive Application
Power Quality Analysis of Vienna Rectifier for BLDC Motor Drive ApplicationPower Quality Analysis of Vienna Rectifier for BLDC Motor Drive Application
Power Quality Analysis of Vienna Rectifier for BLDC Motor Drive Application
 
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)
 
Ai34212218
Ai34212218Ai34212218
Ai34212218
 
Dr34722727
Dr34722727Dr34722727
Dr34722727
 
Design and Implementation of BLDC Motor with Integrated Drive Circuit
Design and Implementation of BLDC Motor with Integrated Drive CircuitDesign and Implementation of BLDC Motor with Integrated Drive Circuit
Design and Implementation of BLDC Motor with Integrated Drive Circuit
 
L021201085091
L021201085091L021201085091
L021201085091
 
78201910
7820191078201910
78201910
 
Comparitive Analysis of Speed and Position Control of BLDC Motor via Field Or...
Comparitive Analysis of Speed and Position Control of BLDC Motor via Field Or...Comparitive Analysis of Speed and Position Control of BLDC Motor via Field Or...
Comparitive Analysis of Speed and Position Control of BLDC Motor via Field Or...
 
Gr3612061213
Gr3612061213Gr3612061213
Gr3612061213
 
IRJET- Phase Conversion of VFD based Induction Motor
IRJET- Phase Conversion of VFD based Induction MotorIRJET- Phase Conversion of VFD based Induction Motor
IRJET- Phase Conversion of VFD based Induction Motor
 
Analysis and Simulation of Asynchronous Machine Connected with Load Accomplis...
Analysis and Simulation of Asynchronous Machine Connected with Load Accomplis...Analysis and Simulation of Asynchronous Machine Connected with Load Accomplis...
Analysis and Simulation of Asynchronous Machine Connected with Load Accomplis...
 
M356872
M356872M356872
M356872
 

Recently uploaded

The Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and InsightThe Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and InsightSafe Software
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Victor Rentea
 
Choreo: Empowering the Future of Enterprise Software Engineering
Choreo: Empowering the Future of Enterprise Software EngineeringChoreo: Empowering the Future of Enterprise Software Engineering
Choreo: Empowering the Future of Enterprise Software EngineeringWSO2
 
Design Guidelines for Passkeys 2024.pptx
Design Guidelines for Passkeys 2024.pptxDesign Guidelines for Passkeys 2024.pptx
Design Guidelines for Passkeys 2024.pptxFIDO Alliance
 
Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider  Progress from Awareness to Implementation.pptxTales from a Passkey Provider  Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider Progress from Awareness to Implementation.pptxFIDO Alliance
 
Quantum Leap in Next-Generation Computing
Quantum Leap in Next-Generation ComputingQuantum Leap in Next-Generation Computing
Quantum Leap in Next-Generation ComputingWSO2
 
UiPath manufacturing technology benefits and AI overview
UiPath manufacturing technology benefits and AI overviewUiPath manufacturing technology benefits and AI overview
UiPath manufacturing technology benefits and AI overviewDianaGray10
 
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptxHarnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptxFIDO Alliance
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
Event-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream ProcessingEvent-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream ProcessingScyllaDB
 
Stronger Together: Developing an Organizational Strategy for Accessible Desig...
Stronger Together: Developing an Organizational Strategy for Accessible Desig...Stronger Together: Developing an Organizational Strategy for Accessible Desig...
Stronger Together: Developing an Organizational Strategy for Accessible Desig...caitlingebhard1
 
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....rightmanforbloodline
 
ChatGPT and Beyond - Elevating DevOps Productivity
ChatGPT and Beyond - Elevating DevOps ProductivityChatGPT and Beyond - Elevating DevOps Productivity
ChatGPT and Beyond - Elevating DevOps ProductivityVictorSzoltysek
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Zilliz
 
API Governance and Monetization - The evolution of API governance
API Governance and Monetization -  The evolution of API governanceAPI Governance and Monetization -  The evolution of API governance
API Governance and Monetization - The evolution of API governanceWSO2
 
Decarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational PerformanceDecarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational PerformanceIES VE
 
Navigating Identity and Access Management in the Modern Enterprise
Navigating Identity and Access Management in the Modern EnterpriseNavigating Identity and Access Management in the Modern Enterprise
Navigating Identity and Access Management in the Modern EnterpriseWSO2
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
Intro to Passkeys and the State of Passwordless.pptx
Intro to Passkeys and the State of Passwordless.pptxIntro to Passkeys and the State of Passwordless.pptx
Intro to Passkeys and the State of Passwordless.pptxFIDO Alliance
 
ADP Passwordless Journey Case Study.pptx
ADP Passwordless Journey Case Study.pptxADP Passwordless Journey Case Study.pptx
ADP Passwordless Journey Case Study.pptxFIDO Alliance
 

Recently uploaded (20)

The Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and InsightThe Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and Insight
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Choreo: Empowering the Future of Enterprise Software Engineering
Choreo: Empowering the Future of Enterprise Software EngineeringChoreo: Empowering the Future of Enterprise Software Engineering
Choreo: Empowering the Future of Enterprise Software Engineering
 
Design Guidelines for Passkeys 2024.pptx
Design Guidelines for Passkeys 2024.pptxDesign Guidelines for Passkeys 2024.pptx
Design Guidelines for Passkeys 2024.pptx
 
Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider  Progress from Awareness to Implementation.pptxTales from a Passkey Provider  Progress from Awareness to Implementation.pptx
Tales from a Passkey Provider Progress from Awareness to Implementation.pptx
 
Quantum Leap in Next-Generation Computing
Quantum Leap in Next-Generation ComputingQuantum Leap in Next-Generation Computing
Quantum Leap in Next-Generation Computing
 
UiPath manufacturing technology benefits and AI overview
UiPath manufacturing technology benefits and AI overviewUiPath manufacturing technology benefits and AI overview
UiPath manufacturing technology benefits and AI overview
 
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptxHarnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Event-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream ProcessingEvent-Driven Architecture Masterclass: Challenges in Stream Processing
Event-Driven Architecture Masterclass: Challenges in Stream Processing
 
Stronger Together: Developing an Organizational Strategy for Accessible Desig...
Stronger Together: Developing an Organizational Strategy for Accessible Desig...Stronger Together: Developing an Organizational Strategy for Accessible Desig...
Stronger Together: Developing an Organizational Strategy for Accessible Desig...
 
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
TEST BANK For Principles of Anatomy and Physiology, 16th Edition by Gerard J....
 
ChatGPT and Beyond - Elevating DevOps Productivity
ChatGPT and Beyond - Elevating DevOps ProductivityChatGPT and Beyond - Elevating DevOps Productivity
ChatGPT and Beyond - Elevating DevOps Productivity
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
API Governance and Monetization - The evolution of API governance
API Governance and Monetization -  The evolution of API governanceAPI Governance and Monetization -  The evolution of API governance
API Governance and Monetization - The evolution of API governance
 
Decarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational PerformanceDecarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational Performance
 
Navigating Identity and Access Management in the Modern Enterprise
Navigating Identity and Access Management in the Modern EnterpriseNavigating Identity and Access Management in the Modern Enterprise
Navigating Identity and Access Management in the Modern Enterprise
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Intro to Passkeys and the State of Passwordless.pptx
Intro to Passkeys and the State of Passwordless.pptxIntro to Passkeys and the State of Passwordless.pptx
Intro to Passkeys and the State of Passwordless.pptx
 
ADP Passwordless Journey Case Study.pptx
ADP Passwordless Journey Case Study.pptxADP Passwordless Journey Case Study.pptx
ADP Passwordless Journey Case Study.pptx
 

F044043741

  • 1. V. V. Ram Vikas et al Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 4( Version 4), April 2014, pp.37-41 www.ijera.com 37 | P a g e Speed Control of Bldc Motor Drive By Using Pid Controllers *Y.Narendra Kumar, ** P.Eswara Rao, **P. Vijay Varma, **V. V. Ram Vikas, **P. Kasi Naidu *Professor, Department of EEE, Lendi Isnstitute of Engineering and Technology, VIZIANAGARAM, A.P, INDIA. **Under graduation in department of EEE, Lendi Isnstitute of Engineering and Technology, VIZIANAGARAM, A.P,INDIA. ABSTRACT This paper mainly deals with the Brushless DC (BLDC) motor speed driving systems have sprouted in various small scale and large scale applications like automobile industries, domestic appliances etc. This leads to the development in Brushless DC motor (BLDCM). The usage of BLDC Motor enhances various performance factors ranging from higher efficiency, higher torque in low-speed range, high power density ,low maintenance and less noise than other motors. The BLDC Motor can act as an alternative for traditional motors like induction and switched reluctance motors. In this paper PID controller is implemented with speed feedback loop and it is observe that torque ripples are minimized. Simulation is carried out using MATLAB / SIMULINK. The results show that the performance of BLDC Motor is quite satisfactory for various loading conditions. Brushless DC motor drives are typically employed in speed controlled applications. Key words: PID, PI, BLDC, MATLAB/SIMULINK I. INTRODUCTION Brushless DC (BLDC) motors are synchronous motors with permanent magnets on the rotor and armature windings on the stator. Hence, from a construction point of view, they are the inside- out version of DC motors, which have permanent magnets or field windings on the stator and armature windings on the rotor. The most obvious advantage of the brushless configuration is the removal of the brushes, which eliminates brush maintenance and the sparking associated with them. Having the armature windings on the stator helps the conduction of heat from the windings. Because there are no windings on the rotor, electrical losses in the rotor are minimal. The BLDC motor compares favorably with induction motors in the fractional horsepower range. The former will have better efficiency and better power factor and, therefore, a greater output power for the same frame, because the field excitation is contributed by the permanent magnets and does not have to be supplied by the armature current. These advantages of the BLDC motor come at the expense of increased complexity in the electronic controller and the need for shaft position sensing. Permanent magnet (PM) excitation is more viable in smaller motors, usually below 20 kW. In larger motors, the cost and weight of the magnets become excessive, and it would make more sense to opt for excitation by electromagnetic or induction means. However, with the development of high-field PM materials, PM motors with ratings of a few megawatts have been built. The direct torque control (DTC) techniques, implemented in six-switch inverter, for brushless dc (BLDC) motors with non- sinusoidal back-EMF using two and three-phase conduction modes. First of all, the classical direct torque control of permanent magnet synchronous motor (PMSM) with sinusoidal back-EMF is discussed in detail. Secondly, the proposed two-phase conduction mode for DTC of BLDC motors is introduced in the constant torque region. In this control scheme, only two phases conduct at any instant of time using a six-switch inverter. By properly selecting the inverter voltage space vectors of the two-phase conduction mode from a simple look-up table the desired quasi-square wave current is obtained. Therefore, it is possible to achieve DTC of a BLDC motor drive with faster torque response while the stator flux linkage amplitude is deliberately kept almost constant by ignoring the flux control in the constant torque region. Direct Torque Control (DTC) is the direct control of torque and stator flux of a drive by inverter voltage space vector selection through a look up table. A relationship is established between the torque, the flux and the optimal inverter switching so as to achieve a fast torque response and reduced torque ripple. It exhibits better dynamic performance than conventional control methods, less sensitive to parameter variations and is simpler to implement. The speed control loop of DTC should be cautiously designed to improve the dynamics of brushless dc (BLDC) motor drive for high RESEARCH ARTICLE OPEN ACCESS
  • 2. V. V. Ram Vikas et al Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 4( Version 4), April 2014, pp.37-41 www.ijera.com 38 | P a g e performance applications. It is not easy to formal an exact mathematical model of BLDC motor. Mathematical Modeling of BLDC The non-sinusoidal nature of the back-emf and current waveforms, transformation of the machine equations to the d-q model is cumbersome, and it is easier to use the phase-variable approach for modeling and simulation. The back-emf can be represented as a Fourier series or by using piecewise linear curves. The circuit equations of the three windings in phase variables can be written as 𝑉𝑎 𝑉𝑏 𝑉𝑐 = 𝑅 0 0 0 𝑅 0 0 0 𝑅 𝑖𝑎 𝑖𝑏 𝑖𝑐 + 𝐿 − 𝑀 0 0 0 𝐿 − 𝑀 0 0 0 𝐿 − 𝑀 𝑑 𝑑𝑡 𝑖𝑎 𝑖𝑏 𝑖𝑐 + 𝑒𝑎 𝑒𝑏 𝑒𝑐 Where, Va,Vb,Vc are the phase voltages, ia,ib,ic are the phase currents, ea,eb,ec are the phase back-emf voltages is the phase resistance, L is the self- inductance of each phase, and M is the mutual inductance between any two phases. The electromagnetic torque is given by Te= (eaia+ebib+ecicwm Where Wm is the mechanical speed of the rotor. The equation of motion is d dt Wm = Te − Tl − BWm /J Where TL is the load torque, B is the damping constant, and J is the moment of inertia of the drive. The electrical frequency is related to the mechanical speed by We= P2wm Where P is the number of rotor poles. In stationary α- β reference frame Te is expressed as Te= 3p 4 dΨrα dθe isα + dΨrβ dθe isβ Where 𝛹𝑟 α, 𝛹𝑟β are the and axes rotor flux linkages and Ψrα = Ψsα- Ls isα Ψrβ = Ψsβ- Ls isβ Where Ls is the stator winding inductance. The application of BLDC drives is based on the flux linkage observers. The stator flux linkage vector can be obtained from the measured stator voltages and currents by using the following equations. Ψs=∫(us-R is) dt The α and β components of stator flux linkage vector are given by Ψsα =∫(usα -R isα) dt Ψsβ =∫(us β -R is β) dt The magnitude and angular position of the stator flux-linkage vector can be derived from Ψsα and Ψsβ as Ψ= 𝚿2 𝐬α + 𝚿2 𝐬β In a BLDC drive only two phases are conducting in the120º conduction mode, except during commutation periods when all three phases conduct, the unexcited phase conducting through the freewheeling diode. Since the upper and lower switches in the same phase leg may both be simultaneously off in BLDC drive, six digits are required to represent the states of the inverter switches one digit for each switch. Thus the voltage space vectors v1, v2, v3, v4, v5 andv6 are represented as switching signals (100001), (001001), (011000), (010010), (000110) and (100100) respectively, where from left to right, the logical values express the states of the upper and lower switching signals for phases A, B, C respectively. The zero voltage space vector is defined as(000000).
  • 3. V. V. Ram Vikas et al Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 4( Version 4), April 2014, pp.37-41 www.ijera.com 39 | P a g e II. PID CONTROLLER The family of PID controllers is constructed from various combinations of the proportional, integral and derivative terms as required to meet specific performance requirements. The formula for the basic parallel PID controller is (Transfer function PID controller formula) Uc(t)=[Kp+Ki 1 𝑠 +KdS] E(s) Time-domain PID controller formula Uc(t)=Kpe(t)+K 𝑒 𝑡 𝑑𝑇 𝑡 𝐼 +Kd 𝑑𝑒 𝑑𝑡 III. SIMULATION BLOCK Fig 1 .SIMULATION MODEL OF PID CONTROLLER BLDC DRIVE
  • 4. V. V. Ram Vikas et al Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 4( Version 4), April 2014, pp.37-41 www.ijera.com 40 | P a g e IV. SIMULATION RESULTS Fig 2.RESPONSE OF SPEED DURING LOAD CHANGES. Fig 3: RESPONSE OF VOLTAGE DURING LOAD CHANGES Fig 4: TORQUE RESPONSE DURING LOAD CHANGES
  • 5. V. V. Ram Vikas et al Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 4( Version 4), April 2014, pp.37-41 www.ijera.com 41 | P a g e V. CONCLUSION By comparing the performances of Permanent-magnet brushless dc motor with PI and PID controller it is concluded that PID response gives high efficiency. Due to this high efficiency, higher torque will be produced in low-speed range, and it has high power density, low maintenance and less noise than other motors. In this paper closed loop speed control of BLDC motor drive with PID controller loop is carried out and it is compared with PI controller fed BLDC drive. Simulation results shows that current ripple and torque ripple are minimized which enhance the performance of the drive. The results show that the dynamic performance of the motor is quite satisfactory for various loading conditions. REFERENCES [1] R. Civilian, and D. Stupak, "Disk drive employing multi mode spindle drive system," US patent 5471353, Oct 3, 1995. [2] G.H. Jang and M.G. Kim, “A Bipolar- Starting and Unipolar-Running Method to Drive an HDD Spindle Motor at High Speed with Large Starting Torque,” IEEE Transactions on Magnetics, Vol. 41, no.2, pp. 750-755, Feb. 2005. [3] E.Grochowski and R.F. Hyot,”Future trends in hard disk drives”,IEEE Tran. On Magnetics, vol.32, no.3, pp1850-1854, May 1996. [4] J.D.Ede, ,Z.Q.Zhu and D.Howe,”Optimal split ratio control for high speed permanent magnet brushless DC motors”, in Proc.5th Int,Conf..Electrical Machines and Sytems’, vol.2,Aug 2001,pp 909-912 [5] S.X.Chen, M.A.Jabbar, O.D. Zhang and Z.J.Lie,”New Challenge: Electromagnetic design of BLDC motors for high speed fluid film bearing spindles used in hard disk drives”,IEEE Trans. Magnetics ,vol32,no.5, pp3854-3856,Sep. 1996. [6] P.Pillay and R.Krishnan, “Modeling, simulation and analysis of Permanent- magnet motor drives, part-II: the brushless DC motor drives,” IEEE Trans. on Industry Applications, vol. 25, pp.274- 279, March/April1989. [7] “Simulation of four quadrant operation & speed control of BLDC motor on MATLAB/SIMULINK,” in Proc. IEEE Region 10 Conference, 2008, pp. 1–6. [8] C. S. Joice and Dr. S R Paranojothi, “Digital control strategy for four quadrant operation of three -phase BLDC Motor with Load variations;” IEEE Trans. Industrial Informatics, vol. 9, n0. 2, May 2013.