Indirect Vector Control of Induction Motor

Using Fuzzy Logic Controller

ABSTRACT:

The paper presents a fuzzy logic speed control system based on fuzzy logic approach for an indirect vector controlled induction motor drive for high performance. The analysis, design and simulation of the fuzzy logic controller for indirect vector control induction motor are carried out based on fuzzy set theory. The proposed fuzzy controller is compared with PI controller with no load and various load condition. The result demonstrates the robustness and effectiveness of the proposed fuzzy controller for high performance of induction motor drive system.

KEYWORDS:

1.     Indirect vector control

2.     Fuzzy logic control

3.     PI controller

4.     Induction motor

5.     Speed control

  

SOFTWARE: MATLAB/SIMULINK

 BLOCK DIAGRAM:

EXPECTED SIMULATION RESULTS:

CONCLUSION:

In this paper fuzzy logic controller for the control of an indirect vector-controlled induction motor was described. The drive system was simulated with fuzzy logic controller and PI controller and their performance was compared. Here simulation results shows that the designed fuzzy logic controller realises a good dynamic behaviour of the motor with a rapid settling time, no overshoot and has better performance than PI controller. Fuzzy logic control has more robust during change in load condition.

REFERENCES:

 [1] B.K Bose “modern power electronics and ac drives “Prentice-Hall Publication,Englewood Cliffs,New Jersey,1986

[2] F.BLASCHKE, “The principle of field orientation as applied to the new transvector closed loop control system for rotating-field machine,” Siemens Rev., Vol.34,no.3,pp.217-220,May1972.

[3] M Nasir Udin,Tawfik S.Radwan,and M.Azizur Rahman,“ Performance of Fuzzy-Logic-Based Indirect vector control for induction motor drive,”IEEE Transaction on Industry Applications,vol.38,no.5,September/October 2002.

[4] Z Ibrahim and E.Levi, “A comparative analysis of Fuzzy Logic and PI controller in High-Performance AC machine drives using Experimental Approach,”IEEE Trans.Industry Application,vol.38,no.5,pp1210-1218,Sep/Oct 2002.

[5] Gilberto C.D.Sousa,Bimal K.Bose and John G.Cleland “Fuzzy Logic Based On-Line Efficiency Optimisation Vector-Controlled Induction Motor Drives,”IEEE Trans.Industrial Electronics,Vol.42,pp.192-198,April 1995.