High-efficiency induction motor drives using type-2 fuzzy logic

Khemis, A.; Benlaloui, I.; Drid, Saïd; Chrifi‐Alaoui, Larbi; Khamari, D.; Menacer, Arezki

doi:10.1140/epjp/i2018-11903-6

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…The joule losses of the induction motor are divided into two: the stator joule losses and the rotor joule losses. So the sum of the two losses gives us [20][21][22][23][24]:…”

Section: Methods Of Coper Loss Reductionmentioning

confidence: 99%

“…In a control loop, human reacts like nonlinear robust controller whose parameters vary during the time. This control strategy «Human" needs to know process to order fuzzy controllers can be seen as a case of expert control characterized by the use of a mechanism representing the judgment of the human being [19,24].…”

Section: Fuzzy Logicmentioning

confidence: 99%

“…The input variables are the torque component Ce and its variation ΔC, the output is the Flux component φopt which has the goal of minimizing the copper losses [23,24]. The Control rules are summarized in Table 3.…”

Section: Design Of the Fuzzy Controllermentioning

confidence: 99%

See 2 more Smart Citations

Efficient Rectified Stator Currents Hysteresis Control of the Induction Motor Drive and Flux Optimization Using Fuzzy Logic

Hamdouche¹,

Drid²

2023

JESA

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The induction machine (IM) is a nonlinear, multivariable, strongly coupled system. Therefore, it is necessary to achieve a decoupling between flux and torque. The vector control technique is the one that gives better performance. To have high dynamic responses and better torque control, the machine must be supplied with sinusoidal currents. The present work contributes to improving the efficiency of a flux-oriented indirect control (IFOC) of an induction motor associated with a new hysteresis inverter. The Induction motors have good efficiencies when operating at full load. However, at lower than rated loads, which is a condition that many machines experience for significant portion of their service life, the efficiency is greatly reduced. To improve the efficiency of the existing motor it is important to regulate the flux of the motor in the desired operating range. This paper proposes the analytical approach of minimizing copper losses for an induction motor and energy efficient control strategy based on fuzzy logic using Matlab / Simulink®. This parameter is used to determine an optimal rotor flux reference it has the goal of maximizing the efficiency for each given load torque. The proposed fuzzy controller adjusts the electromagnetic torque, to give the optimized flux by minimizing losses.

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“…The joule losses of the induction motor are divided into two: the stator joule losses and the rotor joule losses. So the sum of the two losses gives us [20][21][22][23][24]:…”

Section: Methods Of Coper Loss Reductionmentioning

confidence: 99%

Section: Fuzzy Logicmentioning

confidence: 99%

See 1 more Smart Citation

Efficient Rectified Stator Currents Hysteresis Control of the Induction Motor Drive and Flux Optimization Using Fuzzy Logic

Hamdouche¹,

Drid²

2023

JESA

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Improvement of the induction motor sensorless control based on the type-2 fuzzy logic

et al. 2021

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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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High-efficiency induction motor drives using type-2 fuzzy logic

Cited by 5 publications

References 10 publications

Efficient Rectified Stator Currents Hysteresis Control of the Induction Motor Drive and Flux Optimization Using Fuzzy Logic

Efficient Rectified Stator Currents Hysteresis Control of the Induction Motor Drive and Flux Optimization Using Fuzzy Logic

Improvement of the induction motor sensorless control based on the type-2 fuzzy logic

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

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