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

Abdalla, Turki Y.; Hairik, Haroution Antranik; Dakhil, Adel M.

doi:10.33762/eeej.2010.54883

Cited by 9 publications

(3 citation statements)

References 8 publications

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“…Data input is converted into a single output value using this mapping. The FL system's components include fuzzification, rule base, inference engine, and defuzzification [37], [38].…”

Section: Ijici Issn: 2791-2868 Rmentioning

confidence: 99%

The application of the radar approach in the European Foundation Quality Management (EFQM)

Hameed

2022

IJICI

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In managing today's dynamic and challenging business environment, managers want to show that their firms stand apart. The most common way to do this is to raise performance levels consistently. An organization's progress toward organizational excellence can be measured using the European Foundation for Quality Management (EFQM) Excellence Model, which is the most accurate and relevant method. The EFQM model is used in this research to provide a novel integrated strategy for improving overall organizational Performance. RADAR's approach and the proposed technique based on fuzzy Logic were used in a case study at the Iraqi Oil Tanker Company to demonstrate the applicability of the proposed method, which was demonstrated by using the European Foundation for Quality Management framework to identify strengths and opportunities for improvement ( EFQM). The Matlab software was used to implement the recommended strategy.

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“…Data input is converted into a single output value using this mapping. The FL system's components include fuzzification, rule base, inference engine, and defuzzification [37], [38].…”

Section: Ijici Issn: 2791-2868 Rmentioning

confidence: 99%

The application of the radar approach in the European Foundation Quality Management (EFQM)

Hameed

2022

IJICI

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“…The results have shown that using fuzzy logic in q-axis, known as speed control, provide a far better performance than a d-axis fuzzy controller. Another structure for a Fuzzy Logic system is to use it in order to determine the optimal coefficients of kp and ki in fuzzy speed control [36]. In fact, in this reference the disadvantages of PI controller are solved by the by the fuzzy system.…”

Section: Fuzzy Systemsmentioning

confidence: 99%

“…Figure 17. The structure of Fuzzy System in [36] In [37], the fuzzy technique is used to control the current in q-and d-axis. These variables are used to calculate the rotor electromagnetic torque and flux in order to minimize the motor total losses.…”

Section: Fuzzy Systemsmentioning

confidence: 99%

Investigating the Intelligent Methods of Loss Minimization in Induction Motors

et al. 2018

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Induction motors are widely used in industry. Given the increasing demand for electric machines in different industries, optimization of these machines to achieve a high efficiency with low cost is of utmost importance. Loss-minimization in motor is done in three ways: 1) optimizing motor selection and design; 2) improving motor power supply waveforms; and 3) using appropriate controlling methods in drives. Often, inductive motors provide the maximum efficiency in their nominal load. In most applications it is necessary for a motor to work in light loads for a long time, e.g. in conveyors, elevators, etc. In these conditions, the machine load is not the nominal load, and a higher percentage of the input power is lost. So, in the case of variable load, the first and second methods cannot increase the efficiency; but the third method provides a large flexibility in decreasing motor losses. In this paper, the application of the third method in lossminimization is reviewed. These motor losses are mostly related to the controlling strategy and basically occur in light-load conditions. There are various strategies to decrease this kind of losses, which are generally divided into two categories: classic methods and intelligent methods. In this paper, first the classic methods, including losses model control (LMC), flux control as a function of torque and search control (SC), are discussed. Then the intelligent methods, such as genetic algorithm, PSO, fuzzy logic and artificial neural network are investigated. This paper is presented while the last methods of efficiency improvement are being investigated and each method is described briefly.

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PI-Based Fuzzy Speed Controller with PWM Direct Torque Control for Induction Motor Drive

Brandštetter

Kuchař

et al. 2017

Lecture Notes in Electrical Engineering

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

Cited by 9 publications

References 8 publications

The application of the radar approach in the European Foundation Quality Management (EFQM)

The application of the radar approach in the European Foundation Quality Management (EFQM)

Investigating the Intelligent Methods of Loss Minimization in Induction Motors

PI-Based Fuzzy Speed Controller with PWM Direct Torque Control for Induction Motor Drive

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