QUICK-RESPONSE FUZZY-CONTROLLED INDUCTION MOTOR DRIVE

  • Mohamed Elsharif
  • Tareq Elgargani
Keywords: Fuzzy controller, rule base, indirect field oriented control, induction motor drive, speed control

Abstract

High performance motor drives require high accuracy, fast response, wide range of control, robustness and immunity from the effect of parameter variations. Three phase motors have a complex and highly nonlinear mathematical model associated with interactive parameters. This makes designing a conventional controller for such a system is a hard task. Researchers are paying more attention to fuzzy logic controllers (FLCs) since they can be employed to control complex or nonlinear systems even without knowing their mathematical model. The main task of this paper is to design and implement an FLC for indirect field orientated control of a three phase induction motor drive. The proposed controller is a proportional-derivative (PD) FLC. It uses the speed and its derivative as input and the electromagnetic torque as output. The input and output are coupled with simple linguistic if-then rules. The spread of each input and output is adjusted using a gain block to achieve the best performance in a trial-and-error process. Also, an incremental counter is attached to the output of the controller to yield the desired electromagnetic torque. The design was implemented and tested using MATLAB/SIMULINK. Finally, the simulation results and figures were presented.

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References

G. S.Buja and M. P. Kazmierkowski, “Direct torque control of PWM inverter-fed AC motors - a survey”, IEEE Transactions on Industrial Electronics, Vol. 51, No. 4, 2004, pp. 744-757.

F. Blaschke, “The principle of field orientation as applied to the new transvector closed-loop control system for rotating-field machines”, Siemens Review, Vol. 39, No. 5, 1972, pp. 217-220.

Ahallianath K G R and W. Beevi M, “Indirect field oriented control of induction motor using predictive current controller”, International Conference on Control, Communication and Computing, India, 2015, pp. 248-253.

B. K. Nishad and R. Sharma, “Induction motor control using modified indirect field oriented control”, 8th IEEE India International Conference on Power Electronics, 2018, pp. 1-5.

S. Pati, M. Patnaik, and A. Panda, “Comparative performance analysis of fuzzy PI, PD and PID controllers used in a scalar controlled induction motor drive”, Proceedings of International Conference on Circuits, Power and Computing Technologies, 2014, pp. 910-915.

A. L. Murari, , J. A. Altuna, R. V. Jacomini, C. M. Osorio, J. S. Chaves and A. J. Filho, “A proposal of project of PI controller gains used on the control of doubly-fed induction generators”, IEEE Latin America Transactions, Vol. 15, No. 2, 2017, pp. 173-180.

K. Hsu, H. Chiang, G. Huang and T. Lee, “Enhanced fuzzy sliding mode control to motion controller of linear induction motor drives”, IEEE International Conference on System Science and Engineering, Shanghai, 2014, pp. 268-273.

D. A. Surwase, A. S. Jalit and M. D. Chavan, “Fault detection and protection of induction motor using fuzzy logic”, International Conference on Innovations in Electrical, Electronics, Instrumentation and Media Technology, Coimbatore, India, 2017, pp. 66-70.

A. Kumar R and F. Daya J L, “A novel self-tuning fuzzy based PID controller for speed control of induction motor drive”, International Conference on Control Communication and Computing, 2013, pp. 62-67.

M. Pandey and A. Brave, “An intelligent fuzzy logic controlled based induction motor drive”, International Journal of Science and Research, Vol. 4, No. 6, 2015, pp. 1092-1096.

R.H. Park, “Two-reaction theory of synchronous machines generalized method of analysis-part I”, AIEE Transactions , Vol. 48, No. 3, 1929, pp. 716–730.

A. Trzynadlowski, Control of Induction Motors. San Diego, CA: Academic Press, 2001.
Published
2020-12-30
How to Cite
Mohamed Elsharif, & Tareq Elgargani. (2020). QUICK-RESPONSE FUZZY-CONTROLLED INDUCTION MOTOR DRIVE . INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES, 6(2), 20-28. https://doi.org/10.29284/ijasis.6.2.2020.20-28
Section
Articles