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SPEED CONTROL OF SEPARATELY EXCITED DC MOTOR USING NEURO FUZZY TECHNIQUE
• Muhammed sajid• Augustin Fidalis• Sajina• Sufina• Ramsi• Jumana
MAIN OBJECTIVE
• This project Focusses on NEURO FUZZY TECHNIQUE in estimating speed and controlling it for a separately
excited DC motor.
• A neuro fuzzy control scheme consists of two parts
1)neural identifier 2)fuzzy logic controller • The purpose of this technique is to achieve accurate
trajectory control of the speed.
INTRODUCTION
• Various applications of DC motors. • Why DC drives are used in industrial
applications? • In these applications, the motor should be
precisely controlled to give the desired performance.
• Conventional methods of Speed control of dc motors.
• The proposed controller systems consist of multi-input fuzzy logic controller (FLC) and multi-input integrated fuzzy logic controller (IFLC) for the speed control
Many practical control issues
• Variable and unpredictable inputs • Noise propagation along a series of unit
processes • Unknown parameters • Changes in load dynamics
Advantages of using neuro fuzzy technique
• Fast adaptation • High degree of tolerance • Smooth operation • Reduce the effect of Non-linearity • Learning ability • Inherent approximation capability
Block diagram of separated excited dc motor
First phase
• This project first focussed on implementing PI controller & IP controller to control speed of a dc motor.
Block diagram of separated excited dc motor for speed control
Block diagram of separated excited dc motor for PI speed controller
SIMULINK MODEL OF PI CONTROLLER
Block diagram of separated excited dc motor for IP speed controller
SIMULINK MODEL OF IP CONTROLLER
Transfer Fcn
1
.0465 s+.004Scope 1
Integrator
1s
Gain 91.5
Gain 8
1
Gain 7
.55
Gain 6
.55
Gain 5
-K-Gain 4
13
Gain 3
1
Gain 2
1
Gain 1
30
Constant 1
25
Constant
1500
Motor’s Parameters
• The motor used in this experiment is dc separately excited,rating 2.5hp at rated voltage 110 V, and the motor’s parameters are as follows:
• Armature resistance (Ra) = 0.6 Ω• Armature inductance (La) = 8 mH• Back e.m.f constant (K) = 0.55 V/rad/s• Mechanical inertia (J) = 0.0465 kg.m2• Friction coefficient (B) = 0.004 N.m/rad/s• Rated armature current (Ia) = 20 A
Simulation result for PI controller
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
200
400
600
800
1000
1200
1400
1600
1800
2000speed response of PI controller
time in seconds
speed in r
pm
Simulation result for IP controller
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
200
400
600
800
1000
1200
1400
1600
time in seconds
speed in r
pm
speed response of IP controller
Comparison between PI controller and IP controller
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20
200
400
600
800
1000
1200
1400
1600
1800
2000
time in seconds
speed in r
pm
speed response of PI & IP controller
IP controller
PI controller
RESULTS AND DISCUSSIONS
• PI controller maintaining a zero study state error
• PI controller have the disadvantages as High starting over shoot,Sluggish response, Sensitivity
• IP controller have the advantages as reduction of peak over shoot
• Inorder to avoid the limitations of IP controller fuzzy is introduced
Second Phase
Fuzzy logic theory and the design concepts
CONCLUSION
IP controller provide important advantages over the traditional PI controller like limiting the overshoot in speed,thus the starting current over shoot can be reduced.
REFERENCES[1] J.S.R.Jang, “ANFIS: Adaptive Network Based Fuzzy InferenceSystem”, IEEE, Transactions on
system, Man & cybernetics, volume23, May/June 1993.[2] J.S.R.Jang, C.T.Sen, “Neuro-Fuzzy Modeling &Control”,Proceedings of IEEE, volume 83, No.3,
March 1995.[3] S.Aydemir, S.Sezen, H.M.Ertunc, “Fuzzy logic speed control of DCmotor”, IEEE, volume 2,
August 2004, PP 766-771.[4] “Speed Control of separately Excited DC Motor”, MoleykuttyGeorge, American JournalApplied
Science[5] “Fundamentals of Electrical Drives”, Gopal K.Dubey, Narosa Publishers 2nd Edition.[6] “Electric Motor drives modeling, Analysis and control”, R.Krishnan,Prentice-Hall of India
Private Limited, New Delhi.[7] The Mathworks Inc., MATLAB/SimPower Systems Demos/Chopperfed DC Motor Drive.
[8] “Modern Power Electronics and AC Drives”, B.K.Bose NJ: Prentice Hall, 2002. ISSN 1546-9239 I
2008 Science publications.