##plugins.themes.academic_pro.article.main##

Abstract

Three phase induction motor drives have various industrial applications. In this thesis work indirect vector control technique is used which is based upon the Fuzzy PID speed controller. This method of speed control using fuzzy logic in induction motor altogether forms a closed loop control system. Result evaluated and obtained for speed control in Simulink provides reasonable accurate output at the end.

This thesis provides a technique for implementing a rule-based fuzzy logic PID controller applied to a closed loop indirect vector control the speed control of an induction motor. In this the d-q axis theory is used for the modeling of induction motor. For the speed control of IM using indirect vector control technique, a reference speed has been used and the control architecture includes the rule base. The controller has been tuned by hit and trial error method. The errors in the system are evaluated according to the rules which have defined membership functions.

Keywords: Induction motor, Fuzzy logic controller, Indirect vector control, PID Controller, closed loop parameters.

##plugins.themes.academic_pro.article.details##

Author Biographies

Rajnee Bala Minz, Samrat Ashok Technological Institute, Vidisha, M.P, India

PG Scholar/ Dept. of EE,

Rajesh Thinga, Samrat Ashok Technological Institute, Vidisha, M.P, India

PG Scholar/ Dept. of EE,

C.S. Sharma, Samrat Ashok Technological Institute, Vidisha, M.P, India

Associate Prof./Dept of EE
How to Cite
Minz, R. B., Thinga, R., & Sharma, C. (2014). Simulation and Speed Control of Induction Motor Using Fuzzy Logic PID Controller. International Journal of Emerging Trends in Science and Technology, 1(06). Retrieved from http://igmpublication.org/ijetst.in/index.php/ijetst/article/view/269

References

1. Weibo Yu, Yan Wang,Dejiang Zhang,Research on Variable Frequency Energy- Saving control strategy of Precooling Water Pump, 978-1-4244-8165-1/11, 2011, IEEE.
2. Simulation of Vector Control Frequency Converter of Induction Motor Based on Matlab/Simulink, Wu Tao,Zhao Liang,978-0-7695-4296-6/11, 2011 IEEE.
3. Fuzzy Logic Based MRAS For Sensorless Induction Motor Drive, Z.M.Salem, M.M.Khater,S.A.Mahmoud, MEPCON’2006.
4. Neural Networks, Fuzzy Logic, and Genetic Algorithms, Synthesis and Applications,by `S.Rajasekaran and G.A.Vijayalakshmi Pai,PHI LearningPrivate Limited.
5. Fundamentals of Electric Drives by Gopal. K. Dubey ,Second Edition, Narosa Publishing House Pvt. Ltd.
6. Modelling of Induction motor and control of speed using hybrid controller technology, Ashok Kusagur, Dr. S.F.Kodad, Dr. B.V. Sankar Ram,.
7. Performance optimization of asynchronous machine using fuzzy voltage controller, A.A.Ansari and D.M..Deshpande,IJET2(1): 45-49(2011).
8. Fuzzy PID controller application to sensorless induction motor on model reference adaptive system(MRAS), M.L.N.Kiran Kumar, T.Rama Sastry , ISSN (Print) : 2320 – 3765ISSN (Online): 2278 – 8875, 2003.
9. Induction motor speed control using Fuzzy Logic controller, V.Chitra and R.S.Prabhakar.
10. Ziegler-Nichols (Z-N) Based PID Plus Fuzzy Logic Control (FLC) For Speed Control of A Direct Field-Oriented Induction Motor (DFOIM),
11. Srinivas.Singirikonda, Yellaiah.Ponnam, Sravan Kumar.Palarapu
12. ISSN: 2248-9622, Vol. 3, Issue 6, Nov-Dec 2013, pp.755-762.
13. Fuzzy gain scheduling of PID controller, Zhen-Yu-Zhao, Masayoshi Tomizuka and Saturo Isaka, vol. 23 no. 5,september/ october 1993, IEEE.
14. New Results on the Synthesis of PID Controllers,Guillermo J. Silva, Aniruddha Datta, and S. P. Bhattacharyya, IEEE Transactions on automatic