scholarly journals Comparison between PI-DTC-SPWM and fuzzy logic for a sensorless asynchronous motor drive

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Soukaina El Daoudi ◽  
Loubna Lazrak
Keyword(s):  
Fuzzy Logic ◽  
High Speed ◽  
Sliding Mode ◽  
Asynchronous Motor ◽  
Multilevel Inverter ◽  
Feedback Information ◽  
Logic Control ◽  
Model Reference Adaptive System ◽  
Squirrel Cage ◽  
Model Reference Adaptive

AbstractCurrently, asynchronous cage motors are among the most commonly requested machines accentuated by their extension to the field of electric vehicles. Therefore, the development of robust and sophisticated controls for this machine is of significant interest. Artificial intelligence control techniques, such as fuzzy logic, are at the forefront of recent research. However, their design becomes much more complicated for a motor via a multilevel inverter. The main purpose of this paper is to show that it is possible to achieve fuzzy logic control of a squirrel cage asynchronous motor supplied via the usual two-level inverter. This is achieved, by adopting a DTC strategy based on a sinusoidal PWM with multilevel inverter. It employs a feedback information estimator with dual structure between the sliding mode observer at low speed and the model reference adaptive system in sliding mode at high speed. For both installations, speed is regulated using a sliding mode controller.

scholarly journals MRAS-Based Switching Linear Feedback Strategy for Sensorless Speed Control of Induction Motor Drives

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3083
Author(s):  
Mohamed Amine Fnaiech ◽  
Jaroslaw Guzinski ◽  
Mohamed Trabelsi ◽  
Abdellah Kouzou ◽  
Mohamed Benbouzid ◽  
...  
Keyword(s):  
Sliding Mode Control ◽  
Induction Motor ◽  
Sliding Mode ◽  
Good Control ◽  
Motor Drives ◽  
Linear Feedback ◽  
Mode Control ◽  
Model Reference Adaptive System ◽  
Feedback Structure ◽  
Model Reference Adaptive

This paper presents a newly designed switching linear feedback structure of sliding mode control (SLF-SMC) plugged with an model reference adaptive system (MRAS) based sensorless field-oriented control (SFOC) for induction motor (IM). Indeed, the performance of the MRAS depends mainly on the operating point and the parametric variation of the IM. Hence, the sliding mode control (SMC) could be considered a good control alternative due to its easy implementation and robustness. Simulation and experimentation results are presented to show the superiority of the proposed SLF-SMC technique in comparison with the classical PI controller under different speed ranges and inertia conditions.

A Multilevel Inverter for Photovoltaic Systems With Fuzzy Logic Control

2010 ◽  
Vol 57 (12) ◽  
pp. 4115-4125 ◽  
Author(s):  
Carlo Cecati ◽  
Fabrizio Ciancetta ◽  
Pierluigi Siano
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Multilevel Inverter ◽  
Photovoltaic Systems ◽  
Logic Control

scholarly journals Latest Advances in DTC Control of Induction Motors

2020 ◽  
Vol 8 (6S) ◽  
pp. 120-123
Keyword(s):  
Induction Motor ◽  
Predictive Control ◽  
Induction Motors ◽  
Adaptive System ◽  
Sliding Mode ◽  
Direct Torque Control ◽  
Torque Ripple ◽  
Torque Control ◽  
Model Reference Adaptive System ◽  
Model Reference Adaptive

In these days, developments in the area of Induction Motor control is increasing significantly. Considerable advancements have been taken place in the area of Direct Torque Control (DTC), which is capable of providing quick dynamic response with respect to torque and flux. This paper presents a detailed survey on various latest techniques of DTC control of Induction Motor such as DTC-SVM with hysteresis band, DTCSVM with Model Predictive Control, DTC with sliding mode control, DTC with Model reference adaptive system (MRAS) et cetera. The simulation results are discussed for DTC-SVPWM topology and results obtained proves that this method has reduced torque ripple

scholarly journals MATHEMATICAL ALGORITHM OF FUZZY LOGIC CONTROLLER FOR MULTILEVEL INVERTER CREATING VERTICAL DIVIDED VOLTAGE

2019 ◽  
Vol 59 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Erol Can
Keyword(s):  
Mathematical Model ◽  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Pid Controller ◽  
Output Voltage ◽  
Fuzzy Logic Controller ◽  
Boost Converter ◽  
Multilevel Inverter ◽  
Logic Control ◽  
Multi Level

A 9-level inverter with a boost converter has been controlled with a fuzzy logic controller and a PID controller for regulating output voltage applications on resistive (R) and inductive (L), capacitance (C). The mathematical model of this system is created according to the fuzzy logic controlling new high multilevel inverter with a boost converter. The DC-DC boost converter and the multi-level inverter are designed and explained, when creating a mathematical model after a linear pulse width modulation (LPWM), it is preferred to operate the boost multi-level inverter. The fuzzy logic control and the PID control are used to manage the LPWM that allows the switches to operate. The fuzzy logic algorithm is presented by giving necessary mathematical equations that have second-degree differential equations for the fuzzy logic controller. After that, the fuzzy logic controller is set up in the 9-level inverter. The proposed model runs on different membership positions of the triangles at the fuzzy logic controller after testing the PID controller. After the output voltage of the converter, the output voltage of the inverter and the output current of the inverter are observed at the MATLAB SIMULINK, the obtained results are analysed and compared. The results show the demanded performance of the inverter and approve the contribution of the fuzzy logic control on multi-level inverter circuits.

Sliding Mode-Like Fuzzy Logic Control With Adaptive Boundary Layer for Multiple-Variable Discrete Nonlinear Systems

2016 ◽  
Vol 25 (2) ◽  
pp. 209-220 ◽  
Author(s):  
Xiaoyu Zhang
Keyword(s):  
Boundary Layer ◽  
Fuzzy Logic ◽  
Nonlinear Systems ◽  
Sliding Mode Control ◽  
Fuzzy Logic Control ◽  
Sliding Mode ◽  
Mode Control ◽  
Logic Control ◽  
Chattering Free ◽  
Discrete Nonlinear Systems

AbstractMore serious chattering emerges in discrete systems of sliding mode control. The paper presents a sliding mode-like fuzzy logic control design, which eliminates the chattering, for a class of discrete nonlinear systems with multiple variables. First, the boundary layer is self-tuned on-line, and then, the chattering free is obtained. Consequently, the fuzzy logic control (FLC) is designed to approximate the sliding mode control (SMC) with boundary layer self-tuning. Finally, the performance of the robustness, chattering free, and adaption are verified by the simulation results.

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