DSP improvement of a vector speed induction motor control with a RST and adaptive fuzzy controller

The aim of this work is to improve the dynamics and to overcome the limitation of conventional fixed parameters PI controller used in induction motor (IM) field-oriented control (FOC). This study presents and implements a RST and an adaptive fuzzy controller (AFC) to enhance variable speed control. Theoretical background of theses controllers is outlined and then experimental results are presented. Practical implementation has been realized on a board with a 1.1 KW IM supplied by 10 KHz space vector pulse width modulation current regulated inverter used as power amplifier consisted of 300V, 10A IGBT and Matlab/Simulink environment. Test benches have been established under different operating conditions in order to evaluate and compare the performances of the PI, IP, and polynomial RST and adaptive fuzzy controllers. Parameter variations for the rotor and the inertia moment variation were done in order to compare and verify the robustness of each controller. High dynamic performances and robustness against parameters variation were obtained with the use of both RST and AFC.

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Model reference adaptive fuzzy controller for induction motor using auto-attentive approach

ISIE'2000. Proceedings of the 2000 IEEE International Symposium on Industrial Electronics (Cat. No.00TH8543) ◽

10.1109/isie.2000.930387 ◽

2002 ◽

Cited By ~ 1

Author(s):

A.E. Dessouky ◽

M. Tarbouchi

Keyword(s):

Induction Motor ◽

Fuzzy Controller ◽

Model Reference ◽

Adaptive Fuzzy Controller ◽

Adaptive Fuzzy ◽

Model Reference Adaptive

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Development of Self Tuning and Adaptive Fuzzy Controller to control of Induction Motor

Journal of the Korean Institute of Illuminating and Electrical Installation Engineers ◽

10.5207/jieie.2010.24.4.033 ◽

2010 ◽

Vol 24 (4) ◽

pp. 33-42

Author(s):

Jae-Sub Ko ◽

Jung-Sik Choi ◽

Dong-Hwa Chung

Keyword(s):

Induction Motor ◽

Fuzzy Controller ◽

Adaptive Fuzzy Controller ◽

Adaptive Fuzzy ◽

Self Tuning

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Improvement of adaptive fuzzy control to adjust speed for a doubly fed induction motor drive (DFIM)

International Journal of Power Electronics and Drive Systems (IJPEDS) ◽

10.11591/ijpeds.v11.i1.pp496-504 ◽

2020 ◽

Vol 11 (1) ◽

pp. 496

Author(s):

Dahhou Brahim ◽

Bendjebbar Mokhtar ◽

Lachtar Salah

Keyword(s):

Fuzzy Logic ◽

Induction Motor ◽

Adaptive Fuzzy Control ◽

Torque Ripple ◽

Pi Controller ◽

Operating Conditions ◽

Adaptive Fuzzy ◽

Dynamic Performances ◽

Simulation Results ◽

Doubly Fed

This paper presents the doubly fed induction motor (DFIM) speed control using adaptive fuzzy logic PI (AFLPI) controller to give better dynamic performances. Before the advent of modern technology, integral proportional based current controller is usually used due to its simplicity. But, the performance of closed-loop control is largely influenced by this type of speed and torque controllers used, as long as the PI controllers suffer from tuning problem. To overcome the problem, a new technique AFLPI based speed controller for direct field oriented control fed DFIM to get fast speed response and to minimize the torque ripple. The application of this type of control is very satisfactory to replace the conventional PI controller and, even the fuzzy logic PI (FLPI) controller. The performance of the field oriented controlled DFIM drive has simulated at different operating conditions using the AFLPI controller and the obtained results are compared with FLPI controller and conventional PI controller. Accordingly, an improvement in dynamic and robustness is clearly appears in AFLPI controller simulation results compared to the others aforementioned controllers. Simulation Results are presented for the three techniques using Matlab/Simulink to prove the dynamic performances and robustness.

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