![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]](https://image.slidesharecdn.com/conferenceppt-120923012316-phpapp02/85/Conference-ppt-13-320.jpg)
Conference ppt
- 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