Intelligent Control of Electric Machine Drive Systems

Kryukov, O. V.; Blagodarov, D.A.; Dulnev, N.N.; Safonov, Y.M.; Fedortsov, N.N.; Kostin, A. A.

doi:10.1109/icepds.2018.8571670

Cited by 27 publications

(9 citation statements)

References 15 publications

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“…Both the torque and speed of electric motors are constrained. The maximal current that the drive electronics can deliver determines the maximum torque [21], [22]. A motor also has a maximum rated current at which it risks overheating or demagnetizing its permanent magnets, reducing its torque constant permanently.…”

Section: Resultsmentioning

confidence: 99%

Application of a mathematical model for the Motoman MH-50 industrial robot’s electric drive system

Litsin

Rakhmanov

Tsukanov

2023

IJRA

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<p>In recent years, there has been a great interest in the transition to digital and automation services for dangerous and menial working processes. Due to its MH50-35 industrial robot, Motoman's properties allow us to improve the control system of an electric drive for industrial robots. The structure of the electric drive for six-axis robot manipulator performance can be superior to conventional Drive Control servos for motor excitation, and a novel automation system can be implemented for its servo performance. To solve these issues, we propose an optimization strategy that allows us to achieve an increase in productivity and labor safety in the industry, reduce the percentage of defects, guarantee product uniformity, and reduce the prime cost of production of items. Ideal conditions were anticipated using a mathematical model. In this study, by using a statistical model, the ideal conditions were synthesized. The optimization of the control system of an electric drive for industrial robot analysis was carried out, and our findings suggest using this model in industrial production to elucidate problems such as high accuracy and speed indicators.</p>

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Section: Resultsmentioning

confidence: 99%

Application of a mathematical model for the Motoman MH-50 industrial robot’s electric drive system

Litsin

Rakhmanov

Tsukanov

2023

IJRA

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“…Kontroler logika fuzzy dikategorikan dalam kontrol cerdas (intelligent control) [19]. Unit logika fuzzy memiliki realibity yang mampu menyelesaikan masalah perilaku sistem yang kompleks dan memiliki ketidakpastian.…”

Section: Fuzzy Logic Controllerunclassified

Pengaturan Kecepatan Motor Induksi 3 Fasa Menggunakan Multilevel Inverter Dengan Metode Fuzzy Logic Controller

Ibrahim,

Abdilla,

Arsandi

2023

JTT (Jurnal Teknologi Terpadu)

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Indonesia is one of the developing countries in the industrial sector. Many industrial equipment that utilizes an electric motor to run the system. In running the system using an electric motor, it is necessary to adjust the speed of the electric motor as needed. The 3-phase induction motor is one type of electric motor that has a strong, inexpensive, and high-efficiency construction, so it is often used in industry. However, setting the speed and torque of an induction motor is not easy to do. Setting the frequency of the induction motor voltage can be done using an inverter, therefore a single phase inverter can be used to adjust the speed of a three phase induction motor. In regulating the speed of the induction motor, a control is needed to keep the speed constant as needed. In this study, a 3-phase induction motor speed regulation system was simulated using an inverter controlled by a Fuzzy Logic Controller (FLC). Based on the research that has been done, it can be seen that the Fuzzy Logic Controller (FLC) is able to regulate the speed of a 3-phase induction motor with an error of 0.25%

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“…La orientación del flujo del rotor se logra alineando el eje d−q del marco de referencia síncrono con el vector de flujo del rotor [16]. De acuerdo al modelo matemático en coordenadas d − q del motor [21], [22], [23], el torque eléctrico del motor de inducción se define como:…”

Section: B Principio De Trabajounclassified

Field-Oriented Control with a Predictive Current Strategy of an Induction Machine Fed by a Two-Level Voltage Source Inverter

Rivera

Riveros

Rodriguez

et al. 2021

2021 IEEE International Conference on Automation/Xxiv Congress of the Chilean Association of Automatic Control (ICA-ACCA)

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Industrial Motor Drives require often required optimal speed and torque control. This work presents the implementation of a eld-oriented control (FOC) with a predictive current control strategy for an induction machine fed by a voltage source inverter. The FOC generates the stator current references for the predictive current controller, which selects the optimal switching state to be applied in the next sample period. The results from a Matlab/Simulink simulation validates the good dynamic performance of the proposed technique, making it a suitable strategy for induction machine control with two-level inverters.

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Intelligent Control of Electric Machine Drive Systems

Cited by 27 publications

References 15 publications

Application of a mathematical model for the Motoman MH-50 industrial robot’s electric drive system

Application of a mathematical model for the Motoman MH-50 industrial robot’s electric drive system

Pengaturan Kecepatan Motor Induksi 3 Fasa Menggunakan Multilevel Inverter Dengan Metode Fuzzy Logic Controller

Field-Oriented Control with a Predictive Current Strategy of an Induction Machine Fed by a Two-Level Voltage Source Inverter

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