This document presents a method for synchronizing the speed of two motor systems using optimized fuzzy PI control. It proposes using a fuzzy logic-based PI controller to improve motor performance by accounting for factors like load disturbances and noise. The methodology involves developing an induction motor model, collecting experimental speed and tuning parameter data from winding and unwinding the motors, and defining fuzzy logic rules and a Simulink model. Results show the fuzzy controller achieves better synchronization than conventional manual tuning alone.

1. SYNCHRONIZED CONTROL OF TWO MOTOR
SYSTEM USING FUZZY PI CONTROLLER
PRESENTED BY SUPERVISIOR
S.VIJAI Mrs.P.GOMATHI
PG SCHOLAR ASSOCIATE PROFESSOR
DEPARMENT OF EIE DEPARMENT OF EEE
KONGU ENGINEERING COLLEGE KONGU ENGINEERING COLLEGE

2. OBJECTIVE:
 To synchronize speed control of two motor system using
Optimized KP,KI values.

3. PROPOSED METHODOLOGY
 This paper will demonstrate the improvement in the motor
drive performance using Fuzzy logic based PI Control

4. STATEMENT OF THE PROBLEM
 It is also affected by drive performance miss match, load
disturbance, Noise and many other factors This is because the
dynamic performance of each motor is different.
 It is due to the influence of some disturb factors from load and
noise

5. INDUCTION MOTOR MODEL
 First order delay of the line speed difference between two
motors:
 Speed of motor1:
w1=1/J1(T+r1f)
Speed of motor2:
w2=1/J2(T-r2f)
Where w1, w2-speed of Induction motor (rpm)
J1,J2-Roll Inertia (kg.m²)
T-Torque reference(Nm)
r1, r2-Roll radius(m)
f-spring constant-0.26
Torque-200(Nm)

6. MECHANICAL SIDE VIEW SYSTEM

7. MECHANICAL PARAMETER OF
MOTORS
Motor1 Motor2 Motor1 Motor2
Radius1 Inertia1 Inertia2 Radius2 Radius1 Inertia1 Inertia2 Radius2
(m) (kg.m²) (kg.m²) (m) (m) (kg.m²) (kg.m²) (m)
0.32 0.422 0.134 0.14 0.20 0.23 0.25 0.326
0.31 0.406 0.150 0.15
0.19 0.21 4 0.26 0.342
0.30 0.39 0.166 0.16
0.29 0.374 0.182 0.17 0.18 0.198 0.27 0.358
0.28 0.358 0.198 0.18
0.17 0.182 0.28 0.324
0.27 0.342 0.214 0.19
0.26 0.326 0.23 0.20 0.16 0.166 0.29 0.390
0.25 0.310 0.246 0.21 0.15 0.150 0.30 0.466
0.24 0.294 0.262 0.22
0.14 0.134 0.32 0.422
0.23 0.278 0.278 0.23
0.22 0.262 0.294 0.24 0.13 0.120 0.33 0.438
0.21 0.246 0.310 0.25

8. TWO MOTOR WINDING AND
UNWINDING EXPERIMENT
Speed (1) KP KI Speed (2) KP KI Time (sec)
460 1.0 0.7856 1491 1.832 1.204 1
472 1.001 0.856 1331.7 1.75 1.202 1.5
492 1.004 0.876 1204.54 1.651 1.30 2
512 1.1 0.90 1097 1.552 1.34 2.5
534 1.12 0.944 1009 1.4692 1.40 3
558 1.14 0.978 933 1.420 1.394 3.5
584 1.17 1.01 867 1.350 1.60 4
612 1.20 1.001 811 1.303 1.80 4.5
644 1.230 1.2 761 1.248 1.60 5
680 1.233 1.45 717 1.2071 1.77 5.5

9. TWO MOTOR WINDING AND
UNWINDING EXPERIMENT
Speed(1) KP KI Speed(2) KP KI Time(sec)
718 1.345 1.46 679 1.172 1.60 6
762 1.445 1.4713 643 1.145 1.435 6.5
812 1.43 1.534 611 1.100 1.39 7
934 1.37 1.5435 583 1.07 1.20 7.5
1010 1.30 1.567 537 1.06 1.141 8
1098 1.339 1.59 511 1.00 1.10 8.5
1205 1.454 1.651 490 0.998 0.9844 9
1332 1.467 1.65 471 0.956 0.8657 9.5
1492 1.50 1.70 450 O.899 0.483 10

10. FUZZY RULES

11. SIMULINK OUTPUT OF FUZZY BLOCK

12. TWO MOTOR ELECTRICAL DRIVE
SYSTEM

13. MOTOR SPEED, KP, KI VALUES
Very low Low Medium High Very High
Speed [0-592] [400-845] [750-1200] [960-1421] [1405-1500]
Proportional [0-0.48] [0.12-1.2] [1.08-1.6] [1.5-1.9] [1.6-2.5]
gain
Integral gain [0-0.7] [0.5-0.9] [0.8-1.3] [1.2-1.6] [1.4-1.9]

14. COMPARISION MANUAL TUNING RESULTS
AND FUZZY RESULTS
Manual tuning Results Fuzzy results
Speed of KP KI Speed of Speed of KP KI Speed of
motor (1) motor (2) motor (1) motor (2)
1098 1.331 1.462 511 1071 1.34 0.42 545
934 1.370 1.451 583 926 1.31 0.495 593
812 1.363 1.345 611 862 1.26 0.523 627
718 1.345 1.322 679 724 1.10 0.546 653
612 1.312 1.012 811 604 0.99 0.562 798
584 1.17 0.9986 867 571 0.98 0.654 854

15. CONCLUSION
 The two motor system speed control by using fuzzy
KP,KI values and Optimization the motor speed was
obtained.

16. REFERENCE
 Seung-ho song and seung-ki sul,fellow, A New Tension controller for
continuous strip processing line IEEE Transaction on Industry
Applications,Vol.36NO.2,page(633-639)March/April.
 Chen Chong, Liu Xing-qiao (2010) “Three-motor synchronous speed-
regulation” First ACIS International Symposium on Cryptography, and
Network Security, Data Mining and Knowledge Discovery, E-
Commerce and Its Applications, and Embedded Systems.
 Dezong Zhao, Chunwen Li, and Jun Ren (2009) “Speed
Synchronization of Multiple Induction Motors with Adjacent Cross
Coupling Control” Joint 48th IEEE Conference on Decision and
Control and 28th Chinese Control Conference Shanghai, P.R.
China, December 16-18.

17. Condt,
 Dong Sun, Xiaoyin Shao (2007) “A Model-Free Cross-Coupled Control
for Position Synchronization of Multi-Axis Motions Theory and
Experiments” IEEE Transactions on control systems technology, vol.
15, no. 2.
 Guohai Liu Jinzhao Zhang (2008) “Identification of speed and tension for
multi-motor synchronous system based on LMN” IEEE Pacific-Asia
Workshop on Computational Intelligence and Industrial Application.
 Jinzhao Zhang, Taibin Cao (2009)“ An Improved Method for Synchronous
Control of Complex Multi-motor System” IEEE International Conference
on Electrical and Control Engineering.

18. THANK YOU