Fuzzy Logic Speed Controller of 3-Phase Induction Motors for Efficiency Improvement

Abdelkarim, Emad; Ahmed, Mahrous; Orabi, Mohamed; Mutschler, P.

doi:10.6113/jpe.2012.12.2.305

Cited by 15 publications

(6 citation statements)

References 21 publications

(30 reference statements)

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“…The charging/discharging process of the PHEV batteries in this subsection was performed using the FLC. A comparison between FLC and PI controller response to a step changing reference signal was carried out, by one of the authors, in a previous work to show the fast response of FLC during speed step changing and load changing of electric drive compared with PI controller. Another work was presented by the authors using a PI controller with slow cloud transients .…”

Section: Resultsmentioning

confidence: 99%

“…To overcome the transient of intermittent PV generation systems, an FLC is employed . FLC is chosen because it is faster than the traditional PI controller .…”

Section: Plug‐in Hybrid Electric Vehicle Battery Smart Charging/dischmentioning

confidence: 99%

“…To overcome the transient of intermittent PV generation systems, an FLC is employed . FLC is chosen because it is faster than the traditional PI controller . In addition, during the transient conditions, such as cloud transient, the percentages of overshoot and under damping will be very small compared with PI controller .…”

Section: Plug‐in Hybrid Electric Vehicle Battery Smart Charging/dischmentioning

confidence: 99%

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Mitigation of photovoltaic power generation fluctuations using plug-in hybrid electric vehicles storage batteries

Aly

Abdelkarim

Abdel‐Akher

2015

Int. Trans. Electr. Energ. Syst.

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Summary A control strategy for the battery of a plug‐in hybrid electric vehicle (PHEV) to mitigate the voltage fluctuation of a distribution system fed by photovoltaic (PV) power generation is presented in this paper. In a normal PV power generation, the batteries of PHEVs are set in the controlled charging mode. When a PV power generation fluctuates because of fast cloud transients, the developed controller allows PHEVs batteries to compensate for the PV power variations. The advantage of the proposed control method is that the severe voltage transients are avoided in power networks. The developed control strategy uses fuzzy method to operate with bidirectional interface inverter. Actual transformer tap changer and time series data of solar irradiance based on 5‐s intervals are used to study the impact of PV power variations on a 33‐bus radial distribution feeder. The results show that the reactive power compensation of PV interface inverter enhances the feeder voltage profile during full cloudy skies. However, during cloud transients, the application of PHEVs storage systems is necessary to alleviate the feeder voltage flicker. Copyright © 2015 John Wiley & Sons, Ltd.

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Section: Resultsmentioning

confidence: 99%

“…To overcome the transient of intermittent PV generation systems, an FLC is employed . FLC is chosen because it is faster than the traditional PI controller .…”

Section: Plug‐in Hybrid Electric Vehicle Battery Smart Charging/dischmentioning

confidence: 99%

Section: Plug‐in Hybrid Electric Vehicle Battery Smart Charging/dischmentioning

confidence: 99%

See 1 more Smart Citation

Mitigation of photovoltaic power generation fluctuations using plug-in hybrid electric vehicles storage batteries

Aly

Abdelkarim

Abdel‐Akher

2015

Int. Trans. Electr. Energ. Syst.

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“…As the number of MFs and rules size increase-d, good coverage of the fuzzy variables is obtained. Hence, IM drives perform well in specific system operations [18], [19]. The influence of rules size on drive performance has been investigated by different researchers, Betin et al [20] who discussed the influence of rules size on the performance of stepping motors by implementing the 9, 25, 49 rules size and the 81 rules size.…”

Section: Introductionmentioning

confidence: 99%

Review and Investigation of Simplified Rules Fuzzy Logic Speed Controller of High Performance Induction Motor Drives

et al. 2020

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The use of Fuzzy Logic Controller (FLC) as a speed controller for Induction Motor (IM) drives is garnering strong researchers' interest since it has proven to achieve superior performance compared to conventional controllers. The aim of this study is to review and investigate the design, operations, and effects of rules reduction for FLC in IM drives. Based on the literature, the most commonly used technique to design FLC Membership Functions (MFs) rule-base and control model is based on engineering skills and experienced behavioral aspects of the controlled system. Simplified fuzzy rules approaches have been introduced to reduce the number of fuzzy rules in order to realize hardware implementation. This study discusses different simplified rules methods applied to IM drives. Most of the proposed methods shared a common drawback in that they lacked systematic procedures for designing FLC rule base. Therefore, this research proposed a methodological approach to designing and simplifying the FLC rule-base for IM drives based on dynamic step response and phase plane trajectory of the second order representation of IM drives systems. The proposed method presents guidance for designing FLC rule-base based on the general dynamic step response of the controlled system. Following the proposed method procedures, a (9, 25, 49) rules size has been designed and simplified to a (5, 7, 9) rules size. The effectiveness and accuracy of the designed rules as well as the simplified rules were verified by conducting simulation analysis of IM drives using MATLAB/Simulink environment. Step speed command performance comparisons were achieved with both standard designed and simplified rules at various speed demands. The simulation results showed that the simplified rules maintain the drive performance and produced similar behavior as the standard designed rules.

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“…Y Birbir et al [4] presented a paper on the design and implementation of a monitoring and control system for a threephase induction motor based on Programmable Logic Controller technology. The PLC correlated the operational parameters to the speed requested by the user and monitored the system during normal and trip conditions.…”

Section: Literature Reviewmentioning

confidence: 99%

PLC and Fuzzy Logic Control of a Variable Frequency Drive

Dorjee¹

2014

IJETT

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Abstract-This work deals with the control of a VFD which acts as an intermediary between a three-phase induction motor and the PLC. The induction motor drives a conveyor belt which has three proximity sensor inputs. The first sensor gives the signal for motor to move in the forward direction, the second sensor halts the conveyor for a pre-defined period of time and the third sensor gives the signal for motor to move in the reverse direction. The PLC takes these inputs from the sensors and takes an appropriate action based on the logic developed for the motor control. Finally, the PLC output then becomes the VFD input, which after being reprocessed within the drive brings about the necessary control of the motor with respect to speed and position. In addition, Fuzzy Logic has also been applied to the system so that it can be trained to predict a reasonable output for even those inputs which were not foreseen by the network, therefore making the system flexible and easy to predict the result for various operating conditions.

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Fuzzy Logic Speed Controller of 3-Phase Induction Motors for Efficiency Improvement

Cited by 15 publications

References 21 publications

Mitigation of photovoltaic power generation fluctuations using plug-in hybrid electric vehicles storage batteries

Mitigation of photovoltaic power generation fluctuations using plug-in hybrid electric vehicles storage batteries

Review and Investigation of Simplified Rules Fuzzy Logic Speed Controller of High Performance Induction Motor Drives

PLC and Fuzzy Logic Control of a Variable Frequency Drive

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