Direct Torque Control System for a Three Phase Induction Motor With Fuzzy Logic Based Speed Controller

Abdalla, Omar H.; Hairik,; Dakhil,

doi:10.37917/ijeee.6.2.8

Cited by 12 publications

(2 citation statements)

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“…The rotor moves behind this field with a slower rotation relative to the magnetic field in the stator. This difference in speed is called slip [3,4]. %𝑆𝑙𝑖𝑝…”

Section: Slip Coefficientmentioning

confidence: 99%

Increasing efficiency of induction motor by predictive control system

Olimov,

Ramazonov,

Sayfiyev

2024

E3S Web of Conf.

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Standard squirrel-cage induction machine is widely used in industrial enterprises due to its advantages in terms of reliability, durability and economic efficiency. However, one of its disadvantages is that it suffers from a power dissipation factor due to its inability to balance active and reactive power consumption. Especially when the SCIM is running at no load condition or during the initial start-up, the power factor or useful operation and performance are drastically reduced. Therefore, improving the power factor of the induction machine is an actual topic for the following article, and has had some interesting solutions for several years. In this thesis, two different induction motor control algorithms (frequency converter and Predictive torque control) are included and a clear comparison between them is given. The main focus of this article is to design an induction motor control system using the two algorithms mentioned above, analyse the performance of different control methods, and experimentally verify these algorithms by comparing simulations and experimental results.

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“…The rotor moves behind this field with a slower rotation relative to the magnetic field in the stator. This difference in speed is called slip [3,4]. %𝑆𝑙𝑖𝑝…”

Section: Slip Coefficientmentioning

confidence: 99%

Increasing efficiency of induction motor by predictive control system

Olimov,

Ramazonov,

Sayfiyev

2024

E3S Web of Conf.

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“…This mapping transforms the data coming into the output. FL consists of fuzziness, rule base, inference engine, and defuzzification [30] [31].…”

Section: B Fuzzy Logic Systemmentioning

confidence: 99%

The application of fuzzy Logic in improving the Performance of the European Foundation for Quality Management(EFQM)

Khalif,

Hassan

2022

J. Al-Qadisiyah Comp. Sci. Math.

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In today's tumultuous and competitive business environment, executives are more motivated than ever to demonstrate their teams' mettle by stellar results. The European Foundation for Quality Management (EFQM) has developed and verified the Excellence Model (EFQM) as the gold standard for measuring an organization's pursuit of excellence. An updated integrated strategy that incorporates fuzzy logic into the EFQM model is a powerful tool for boosting an organization's overall performance. This research utilizes the EFQM paradigm to suggest a novel and all-encompassing strategy for enhancing corporate performance. We looked at the specific situation of the Iraqi Oil Tanker Company to determine how doable the strategy actually is. With the use of the EFQM framework developed by the European Foundation for Quality Management, we have shown how useful this tool is for pinpointing both strengths and places for development. The RADAR Logical Method and Fuzzy-Based Strategy were utilized in this case study (EFQM). Matlab was used to apply the suggested technique for assessing the performance of the Iraqi Oil Tankers Company during a three-year period.

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