Speed Control of DC Motor using PID Controller for Industrial Application

International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 3 Issue 5, August 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD26599 | Volume – 3 | Issue – 5 | July - August 2019 Page 1164
Speed Control of DC Motor using
PID Controller for Industrial Application
Manoj Kumar Ranwa, Ameen Uddin Ahmad
Department of Electrical and Electronics Engineering, Al-Falah University, Haryana, India
How to cite this paper: Manoj Kumar
Ranwa | Ameen Uddin Ahmad "Speed
Control of DC Motor using PID Controller
for Industrial Application" Published in
International Journal
of Trend in Scientific
Research and
Development
(ijtsrd), ISSN: 2456-
6470, Volume-3 |
Issue-5, August
2019,pp.1164-1167,
https://doi.org/10.31142/ijtsrd26599
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ABSTRACT
This paper is to design PID controller to supervise and control the speed
response of the DC motor and MATLAB program is used for industrial
application . PID controllers are widely used in a industrial plants because of
their simplicity and robustness. The results obtained from simulation are
approximately similar to that obtained bypractical.Alsothedynamic behavior
is studied.
KEYWORDS: DC motor, PID controller, DC motor armature, DC motor speed
response, MATLAB
I. INTRODUCTION
The DC motors have been popular in the industry control area for a long time,
because there goodcharacteristics,for example: high starttorquecharacteristic,
high response performance, easier to be linear control…etc. The speed of a DC
motor is given be the relationship
(1)
where V is applied voltage, N is speed , Ia is armature current, Ra is armature
resistance and ∅ is the flux per pole[1].
This paper describes the MATLAB/ SIMULINK of the DC motor speed control
method namely field resistance, armature voltage, armature resistance control
method and feedback control system for DC motor drives [2].
When speed control over a wide range is required, combination of armature voltage control and field flux control is used.This
combination permits the ratio of maximum to minimum speed to be 20 to 50. With closed loop control, this range can be
extended up to 200. The parameters of the PID controller kp, ki and kd can be manipulated to produce various response[3].
II. PID CONTROLLER:
The combination of proportional, integral and derivative control action is called PID control action. PID controllers are
commonly used to regulate the time-domain behavior of many different types of dynamic plants. These controllers are
extremely popular because they can usually provide good closed-loop response characteristics. Considerthefeedback system
architecture that is shown in Fig. 1 where it can be assumed that the plant is a DC motor whose speed must be accurately
regulated [4].
Fig 1 (a) Fig 1 (b)
Feedback system of architecture
The PID controller is placed in the forward path, so that its output becomes the voltage applied to the motor's armature the
feedback signal is a velocity, measured by a tachometer.The output velocity signal C (t) is summed with a reference or
command signal R (t) to form the error signal e (t). Finally, the error signal is the input to the PID controller.
(2)
IJTSRD26599

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
III. DC MOTOR MATHEMATICS MODEL AND THE CONTROL THEORY:
DC motors have speed-control capability, which means that speed, torque and even direction of rotation can be control at any
time to meet new conditions [5] .The electric circuit of the armature and the free body diagram of the rotor are shown in the
following fig- 2 [6].
Fig 2 electric circuit of dc motor
Let Ra=Armature Resistance, La=Armature self inductance caused by armature flux, ia= Armature current, if= field current,
Eb=Back EMF in armature, V =Applied voltage, T=Torque developed by themotor,θ= Angulardisplacement ofthe motorshaft,
Ј =Equivalent moment of inertia of motor shaft & load referred to the motor, B= EquivalentCoefficientoffrictionofmotorshaft
& load referred to the motor. The DC motors are generally used in the linear range of the magnetization curve. Therefore, air
gap flux Ф is proportional of the field current i.e.
∅ ∝ if (3)
∅ = Kf if (4)
where Kf constant
The torque T developed by motor is proportional to armature current and air gap flux
T ∝ ia ∅ (5)
T = Kf 𝐾𝑎 ia ∅ (6)
T = 𝐾𝑡 ia (7)
where 𝐾𝑡 is constant .
The motor back emf can be written as
Eb∝ 𝜔𝜑 (8)
Eb= Kb 𝜔 (9)
Eb=Kb ( Kb is back emf constant ) (10)
If we apply kcl on armature circuit
v= Ra ia+La +Eb (11)
The dynamic equation motor will be (J is moment of inertia B is coefficient of friction )
T=J +B +TL (12)
Taking laplace transform of equation(8) (9) and (12).
T(s)=K Ia(s)
Eb=Kb s 𝜃(𝑠)
V(s)= Ia(s) (Ra+LaS)+Eb
V(s) - Eb = Ia(s) (Ra+LaS)
and
T(s)=(Js2+sB)𝜃(𝑠)
or
T(s)=(Js+B) s 𝜃(𝑠)
T(s)=(Js+B) 𝜔(𝑠) (13)
T(s)=KIa(s) (14)
Fig- 3 Block diagram of armature controlled dc motor

The transfer function of dc motor speed with respect to the in put voltage can be written as follows
G(s) =
( )
( )
= ( )( )
(15)
Armature controlled dc motor are preferred over field controlled system For small size motor field control is advantageous
because only a low power servo amplifier is required while the armature current which is not large can be supplied from an
expensive constant current amplifier[7]. For large size motor it is on the whole cheaper to use armature control scheme.
Further in armature controlled motor, back emf contributes additional damping over and abovethat provided byload friction.
The combination of proportional, integral and derivative control action is called PID action control and the controller iscalled
three action controllers. Here the proportional part of the control action repeats the change of error and derivative part ofthe
control action adds an increment of output so that proportional plus derivativeaction is shiftedaheadintime. Theintegral part
ads a further increment of output proportional to the area under the deviation line. The combination of proportional, integral
an derivative action may be made in any sequence as shown[8].
IV. MATLAB REPRESENTATION AND SYSTEM RESPONSE:
Transfer function obtain in equation (15) can be simulate on MATLAB by using practical controller parameter (Kd,Ki and Kp)
and DC motor parameter as shown in table -1 and table -2 .
Fig -4 close loop system of DC motor with PID
Controller Parameters: In PID controller there are some parameter (Proportional Gain, Derivative Gain, Filter Coefficient,
Integral Gain by varying these parameter response can be change (stability ,error ,rise time etc can be control )[9].
Table -1 Controller Parameters
Controller Parameters Tuned Gains Values
Proportional Gain 100
Derivative Gain 100
Filter Coefficient 100
Integral Gain 1
DC motor Parameters: Fig -2 represent electric circuit diagram of dc motor which consist some practical parameter like
Armature resistance (Ra), Armature Coil Inductance ( La), Equivalent Coefficient of friction of motor shaft & load (B) etc .The
performance of DC motor( speed of dc motor , Torque of dc motor , current drawn by dc motor etc) can be control by
controlling these parameter[10]. Here we are considering practical valueofDC motorparameterforbetteroperationofsystem
that given in table-2.
Table -2 DC motor Parameters
Parameter Value Unit
Armature resistance (Ra) 0.5 Ohm
Armature Coil Inductance ( La) 1.8*10 H
Armature Torque Constant (Kt ) 2.83*10 Nm/A
Back emf constant (K) 2.83*10 Vs/rad
Motor Armature Inertia (J ) 20.3 Kgm2
Equivalent Coefficient of friction of motor shaft & load (B) 4 M
Fig-5 Close loop system of DC motor with PID controller

Fig. 6 closed loop response of DC motor with PID controller
CONCLUSION:
From above experimental results we conclude that kp) will
have the effect of reducing the rise time and will reduce; but
never eliminate the steady-state error, an integral control
(ki) will have the effect of eliminating the steady-state error,
but it may make the transient response worse .a derivative
control (kd) will have the effect of increasing the stability of
the system. Here we have used PID controller with the
sutable controller parameter as shown in table -2 and
response of dc motor drown in Fig-6 which stable and
having constant speed 35 rps at (t= 4 sec).
REFERENCES:
[1] Hang Wu; Weihua Su; Zhiguo Liu, "PID controllers:
Design and tuning methods," Industrial Electronics and
Applications (ICIEA),2014IEEE9thConferenceon,vol.,
no., pp.808, 813, 9-11 June 2014.
[2] S. Poulsen, M. A. E. Andersed 0rsted. “Self Oscillating
PWM Modulators, A Topological Comparison”, DTU
Automation, TechnicalUniversityofDenmarkEiehovej,
Building 325, 2800 Lyngby, Denmark.
[3] M. Saranya, D. Pamela, “A Real Time IMC Tuned PID
Controller for DC Motor", IJRTE ISSN: 2277-3878,
Volume 1, Issue-1, April 2012
[4] Naveen Kumar and Dr. Prasad Krishna, "Low cost data
acquition and control using Arduino Prototyping
platform and LabVIEW" ,IJSR, Volume 2, Issue-2,
February 2013
[5] Purna Chandra Rao et. al., “Robust Internal Model
Control Strategy based PID Controller for BLDCM”
,International Journal of Engineering Science and
Technology, Volume 2(11), 2010, 6801-6811.
[6] Detchrat, et. al. , "IMC-Based PID Controllers Design for
Two-Mass System", IMECS 2012 Volume II, HongKong.
[7] Ibrahim kaya, “IMC based automatic tuning methodfor
PID controllers in a smith predictor configuration" ,
Science direct, 2004
[8] Farouk Zouari, et.al., “Ädaptive Internal Model Control
of a DC Motor Drive System Using Dynamic Neural
Network" Journal of Software Engineering and
Applications, Scientific Research, 2012, 5, 168-189.
[9] Olden. P, “Open Loop motor speed control with
LabVIEW”, Southeast Con, Proceedings IEEE, pp. 259-
262, 2001
[10] Zhen-yu zhao, MasayoshiTomizuka,and SatoruIsaka,“
Fuzzy gain of PID controller, ” Members, IEEE 1392p .

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