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

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.

Self-Tuning Fuzzy Based PI Controller for DFIM Powered by Two Matrix Converters

2016 ◽  
Vol 7 (3) ◽  
pp. 665
Author(s):  
Abdelhakim Alalei ◽  
Abdeldjebar Hazzab ◽  
Ali Nesba
Keyword(s):  
Fuzzy Logic ◽  
Induction Machine ◽  
Pi Controller ◽  
Operating Conditions ◽  
Control Technique ◽  
Matrix Converters ◽  
The Matrix ◽  
Doubly Fed Induction Machine ◽  
Self Tuning ◽  
Doubly Fed

This paper presents a study of the Doubly Fed Induction Machine (DFIM) powered by two matrix converters; one connected to the stator windings and the other connected to the rotor windings. First, the mathematical model of DFIM and those of the matrix converters are developed. Then, the vector control technique is applied to the DFIM. Fuzzy logic is used in order to automatically adjust the parameters of the PI controller. The performance of this structure under different operating conditions is studied. Particular interest is given to the robustness of the fuzzy logic based control. The operation of the DFIM under overload conditions is also examined.  Simulation results obtained in MATLAB/Simulink environment are presented and discussed.

scholarly journals Scalar Control of Induction motor using Fuzzy logic

2021 ◽  
Vol 9 (VI) ◽  
pp. 2331-2338
Author(s):  
Kesa Abhilash
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Fuzzy Logic Controller ◽  
Induction Machine ◽  
Pi Controller ◽  
Operating Conditions ◽  
Control Technique ◽  
Scalar Control ◽  
Effective Manner

The main objective of the paper is to control the speed of an induction machine with scalar control technique using Fuzzy logic controller. Here the PI controller is replaced with Fuzzy Logic controller. By using Fuzzy Logic controller there are wider range of operating conditions can be covered and easier to adapt. For Fuzzy Logic controller some rules are written which play major role to control the speed of induction motor in an effective manner. The errors are evaluated according to rules defined.

scholarly journals A new method to minimize the chattering phenomenon in sliding mode control based on intelligent control for induction motor drives

2013 ◽  
Vol 10 (2) ◽  
pp. 231-246 ◽  
Author(s):  
Ismail Bendaas ◽  
Farid Naceri
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode Control ◽  
Induction Motor ◽  
Fuzzy Logic Control ◽  
Sliding Mode ◽  
Torque Ripple ◽  
Operating Conditions ◽  
New Method ◽  
Mode Control ◽  
Logic Control

This paper presents new method toward the design of hybrid control with sliding-mode (SMC) plus fuzzy logic control (FLC) for induction motors. As the variations of both control system parameters and operating conditions occur, the conventional control methods may not be satisfied further. Sliding mode control is robust with respect to both induction motor parameter variations and external disturbances. By embedding a fuzzy logic control into the sliding mode control, the chattering (torque-ripple) problem with varying parameters, which are the main disadvantage in sliding-mode control, can be suppressed, Simulation results of the proposed control theme present good dynamic and steady-state performances as compared to the classical SMC from aspects for torque-ripple minimization, the quick dynamic torque response and robustness to disturbance and variation of parameters.

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

2021 ◽  
Vol 10 (3) ◽  
pp. 1232-1244
Author(s):  
Mihoub Youcef ◽  
Toumi Djilali ◽  
Sandrine Moreau ◽  
Hassaine Said ◽  
Daoud Bachir
Keyword(s):  
Induction Motor ◽  
Pulse Width Modulation ◽  
Fuzzy Controller ◽  
Theoretical Background ◽  
Operating Conditions ◽  
Practical Implementation ◽  
Inertia Moment ◽  
Adaptive Fuzzy Controller ◽  
Adaptive Fuzzy ◽  
Dynamic Performances

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.

Fuzzy logic-based direct torque control for improvement of the fault-tolerant drive of a five-phase induction motor

2021 ◽  
pp. 014233122110155
Author(s):  
Umakanta Mahanta ◽  
Bhabesh Chandra Mohanta ◽  
Anup Kumar Panda ◽  
Bibhu Prasad Panigrahi
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Fault Tolerant ◽  
Direct Torque Control ◽  
Cost Effective ◽  
Torque Ripple ◽  
Torque Control ◽  
Open Phase ◽  
Ripple Reduction ◽  
Multi Phase

Torque ripple reduction is one of the major challenges in switching table-based direct torque control (DTC) while operating for open phase faults of an induction motor, as the switching vectors are unevenly distributed. This can be minimized by increasing the level of the inverter and with the use of multi-phase motors. Fuzzy logic-based DTC is another solution to the above problem. In this paper, a comparative analysis is done between switching table-based DTC (ST-DTC) and fuzzy logic-based DTC for increasing the performance during open phase faults of a five-phase induction motor. The result shows that in fuzzy logic-based DTC with a two-level inverter, the torque ripple is reduced by 5.164% as compared with ST-DTC with a three-level inverter. The fuzzy logic-based DTC with the three-level inverter also gives better performance as compared with fuzzy logic-based DTC with the two-level inverter. The current ripple also reduced by 9.605% with respect to ST-DTC. Thus, fuzzy logic-based DTC is more suitable and cost effective for open phase fault-tolerant drives.

MPPT Strategy of PV System Based on Adaptive Fuzzy Control

2014 ◽  
Vol 1008-1009 ◽  
pp. 63-67
Author(s):  
Jia Yuan ◽  
Yu Jiang Wang ◽  
Jing Hong Cui ◽  
Hui Li Zheng ◽  
Liu Bin ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Control ◽  
Adaptive Fuzzy Control ◽  
Maximum Power ◽  
Solar Pv ◽  
Step Method ◽  
Photoelectric Conversion ◽  
Maximum Power Point ◽  
Adaptive Fuzzy ◽  
Power Point

In order to use photovoltaic cell effectively and improve its photoelectric conversion efficiency, the maximum power point of photovoltaic generation system should be tracked rapidly and stably [1]. Taking into account the solar PV systems are often affected by external factors,it is difficult to determine system parameters, and has a strong non-linear,so this paper,a adaptive fuzzy logic control technology for STP0950S-36 type of independent photovoltaic systems to a adaptive fuzzy controller design method, and using MATLAB/SIMULINK,fuzzy logic toolbox for simulation tools such as maximum power point control,adaptive fuzzy control simulation results of MPPT with fixed step method compared to fixed-step method was found to reach steady there is a certain state after the fluctuation,The results show that the method can quickly and correctly track change of MPP in different light intensity and the system has excellent stability performance.

scholarly journals Indirect vector control for induction motor drive using two level and five level inverter

2019 ◽  
Vol 8 (2) ◽  
pp. 134
Author(s):  
Ankit Agrawal ◽  
Rakesh Singh Lodhi ◽  
Pragya Nema
Keyword(s):  
Vector Control ◽  
Induction Motor ◽  
Lower Order ◽  
Torque Ripple ◽  
Operating Conditions ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Ac Drives ◽  
And Performance ◽  
Cage Induction Motor

<p>This paper represent modelling &amp; simulation of indirect vector control for induction motor drive using two level and five level inverter. To overcome of lower order harmonics, THD &amp; speed torque characteristics of three phase squirrel cage induction motor. This paper provides solution through indirect vector control &amp; SPWM technique for multilevel inverter. A comparison and performance of two level and five level inverter are used in motor to control speed, current and torque. Matlab simulation environment are taken to simulate indirect vector control for induction motor drive using two level and five level inverter, so torque ripple minimization, lower order harmonics are reduced, constant speed, constant torque and variable speed variable torque are determined through simulation results. The applications under operating conditions are performed better THD, better reliability in AC drives.</p>

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