Control and automation of Asynchronous motor using Fuzzy logic

Bouzidi, Mohammed; Harrouz, Abdelkader; Mansouri, Smail

doi:10.46657/ajresd.2019.1.2.5

Cited by 9 publications

(4 citation statements)

References 4 publications

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“…The result obtained from fuzzy reasoning is a fuzzy quantity; however, the actual actuator needs specific numerical values to operate. Therefore, the fuzzy quantity needs to be converted into an exact quantity, and this conversion process adopts the center of gravity method to complete the defuzzification processing [26]. The specific mathematical expressions are as follows:…”

Section: Defuzzificationmentioning

confidence: 99%

Research on the Control Strategy of the Power Shift System of a Cotton Picker Based on a Fuzzy Algorithm

Meng,

Ni,

Chen

et al. 2024

Agriculture

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The control strategy of a power shift system has a significant impact on the driving stability and comfort of cotton pickers. To prevent the cotton picker from stopping to shift and reduce the jerks while shifting, in this study, the power shift system of a four-speed cotton picker was taken as the research object, and the working principles of the power shift transmission of the cotton picker and the hydrostatic transmission were analyzed. Firstly, the intelligent fuzzy control strategy of the variable pump and dual variable motor displacement of the cotton picker power shift system was designed using a fuzzy algorithm, and two-input and three-output fuzzy controllers were constructed with the engine rotational speed and vehicle speed as the input parameters, and the variable pump displacement, front motor displacement, and rear motor displacement as the outputs. Secondly, the model of the whole vehicle travel drive system of the cotton picker was constructed using co-simulation of Amesim and Simulink. Finally, the influence of the fuzzy shift control strategy and conventional manual shift method on the speed and driving distance of the cotton picker was compared and analyzed. The analysis results show that the fuzzy algorithm-based control strategy of the power shift system of the cotton picker can ensure that the cotton picker travels stably according to the target speed, and effectively reduces the speed fluctuation and jerks while shifting. The results of the study are of great significance to realize the non-stop shifting of the cotton picker as well as improve the stability and smoothness of the shift while driving.

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Section: Defuzzificationmentioning

confidence: 99%

Research on the Control Strategy of the Power Shift System of a Cotton Picker Based on a Fuzzy Algorithm

Meng,

Ni,

Chen

et al. 2024

Agriculture

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“…PMSM supply a nonlinear load from the rectifier installed on the output of the conversion chain via a controlled power inverter. To see the influence of the FLC regulator on the quality of the filtering we have use a 3x3rules fuzzy regulator implanted in the control part of the APF [1,2,7], where the membership functions of the input and the output Figure.2 present an overall scheme which describe the various essential parts dedicated to the conversion of the wind power into electrical energy based on permanent magnet synchronous machine mechanically coupled with a wind turbine via a reduction gearbox, the latter is driven by a wind profile that will be modeled and simuled under Matlab Simulink Software.…”

Section: Description Of the Studied Systemmentioning

confidence: 99%

“…It is here that the main advantage of fuzzy logic regulation resides, in fact this type of technique does not need to establish any model of the system [1][2][3]. A direct application to the APF capacitor voltage regulation [4,5,6,7] with their simulation, by MATLAB, applied to wind power conversion chain network [8,9] is represented in the case of a non-linear variable load conditions [6], after modeling, to show the effectiveness of this kind of regulators on electrical power quality and improve the reliability of the APF on wind power system harmonic reducing.…”

Section: Introductionmentioning

confidence: 99%

Wind Power Conversion Chain Harmonic Compensation using APF Based on FLC

Bourourou

Tadjer

Idir

2020

AJRESD

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The work deals study of the active power filter (APF) aplications on harmonic compensation of wind power conversion chain network in case of nonlinear load presence, this, after modeling of each part and well choice of the rules bases and intervals for each selected fuzzy variable of the suitable fuzzy logic controller. To show the effectiveness of this kind of regulation on power quality improvement in wind power system and on APF function reliability on harmonic compensation compered to the use of PI controller, all system is simuled via MATLAB Simulink, Results are discussed and analyzed to represent the effectiveness of the proposed APF on power quality and harmonic reducing on wind conversion chain network.

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“…So this difficulty increases the total active and reac-tive losses, and consequently the voltage drops in the substations which obliges the electricity distribution companies to increase the regulation range of the autotrans-formers and use a many primary sources to produce electricity, that is to say an increase in the costs of managing electrical energy. Mohammed Bouzidi et al [10], present the design of an intelligent approach based on adaptive fuzzy logic applied to the speed controller for a three-phase asynchronous motor. The results show, for the fuzzy controller of RLF5 excellentesperformances, with a very good track beyond reference speed.…”

Section: Introductionmentioning

confidence: 99%

Dispatching and scheduling at load peak with the optimal location of the compensation under constraints in real-time

Tadjeddine

Arbaoui

Harrouz

et al. 2020

AJRESD

Self Cite

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The development of the electricity grid and the use of intelligent control in real-time has today become one of the most important pillars that control the quality and continuity of the electricity supply for industrial consumers and even ordinary consumers. The increase in the load led to an increase in the demand for electrical energy, so this increase was accompanied by multiple problems such as a decrease in the voltage, an increase in the reactive energy in the lines of transport, a decrease in active transited energy, also an increase in active losses and other problems related to electrical synchronization and ultimately overall instability of the electrical network. Through this study, we offer some solutions related to electrical control, using specially developed algorithms to determine the optimal reactive energy compensation locations, taking into account the technical limitations in transformer stations related to high lines 220 kV electric transmission voltage. Thanks to the good results obtained, we were able to apply the algorithms to the real network by taking the southwest region of Algeria as a study sample in order to improve the electrical quality of this region. The modelling, analysis, control and confirmation techniques were studied using an advanced numerical simulation.

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Control and automation of Asynchronous motor using Fuzzy logic

Cited by 9 publications

References 4 publications

Research on the Control Strategy of the Power Shift System of a Cotton Picker Based on a Fuzzy Algorithm

Research on the Control Strategy of the Power Shift System of a Cotton Picker Based on a Fuzzy Algorithm

Wind Power Conversion Chain Harmonic Compensation using APF Based on FLC

Dispatching and scheduling at load peak with the optimal location of the compensation under constraints in real-time

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