Analysis of Speed/Position Controller Based on Several Types of a Fuzzy Logic for Travelling Wave Ultrasonic Motor

Gencer, Altan

doi:10.1109/gpecom.2019.8778619

Cited by 4 publications

(4 citation statements)

References 19 publications

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“…Grid and rotor side converters are used to supply the electrical energy generated by the double feed induction generator. The grid and rotor side controllers are designed to correct the electrical energy produced in the generator to meet the requirements of the load [9][10][11][12][13][14][15][16][17][18][19]. The three-phase T-type converter is given in Fig.…”

Section: The Proposed Modelmentioning

confidence: 99%

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Comparison of T-Type Converter and NPC for the Wind Turbine Based on Doubly-Fed Induction Generator

Gencer

2021

Balkan Journal of Electrical and Computer Engineering

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A three-phase T-type converter topology proposes for wind turbine based on doubly fed induction generator (DFIG). The proposed converter consists of only twelve power switches without flying capacitors or any clamping diodes. The proposed system is implemented to grid side converter of wind turbine. Fuzzy logic controllers are more widely used in wind turbines compared to traditional control systems. Fuzzy logic PI controller has been applied to T-type and the conventional neutral-point clamped (NPC) converters control circuits. Total harmonic distortion (THD) value of current of presented system is measured as 1.76%. Also, DC-link voltage utilization can be maintained. Comparisons are conducted with T-type converter and a 3L-NPC) method under same operation conditions. The proposed scheme has been carried out to verify in simulation results.

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Section: The Proposed Modelmentioning

confidence: 99%

“…Where, μi(yi) depicts the membership function, m represents the output quantificational index, yi represents the output variable, y is the defuzzified output. [2,10,11]…”

Section: The Proposed Modelmentioning

confidence: 99%

Comparison of T-Type Converter and NPC for the Wind Turbine Based on Doubly-Fed Induction Generator

Gencer

2021

Balkan Journal of Electrical and Computer Engineering

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“…Uno de los criterios para determinar el rendimiento de un controlador difuso, es el tiempo de levantamiento hasta alcanzar el valor de referencia y el porcentaje de sobre-levantamiento. En [9] se diseñan varios controladores difusos, acoplando el controlador PI (FLC-PI) y el controlador PID (FLC-PID) para controlar la velocidad de un motor ultrasónico de onda progresiva. Otro ejemplo en la industria, es el control con lógica difusa para el proceso de neutralización del PH [10], mediante un controlador adaptativo.…”

Section: Introductionunclassified

Modelo matemático por identificación paramétrica y diseño de controlador difuso en la sección de enfriamiento de una planta de calentamiento-enfriamiento de fluidos

Ortiz-Mata,

Saquinaula-Brito,

León-Batallas

2023

Ingeniare. Rev. chil. ing.

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En la mayoría de procesos industriales se requiere conocer la dinámica del proceso para logar mejor ajuste y precisión de los controladores, muchas veces la obtención de los modelos mediante la solución de ecuaciones, resulta complejo realizar. Con el desarrollo de la tecnología se pueden obtener datos en tiempo real del proceso, los métodos de identificación son de gran ayuda para la obtención de modelos matemáticos de forma experimental, razón por la cual, es necesario que los estudiantes de ingeniería realicen prácticas en este campo. Con el propósito de tener un equipo para prácticas de control automático e instrumentación, se diseña y construye una planta de calentamiento-enfriamiento de fluidos. El modelo fue obtenido a partir de datos de entrada-salida mediante técnicas de identificación paramétrica, se realizaron pruebas con modelos ARX, ARMAX, OE y BJ, la selección del modelo se realizó mediante porcentaje de similitud, respuesta al escalón y análisis residual. Los mejores resultados se obtuvieron con el modelo BJ 22321, alcanzando porcentaje de similitud de 81,71%, para la selección del modelo también se consideró la parsimonia, es decir, la que tenga menor número de polos y ceros. Para el ajuste del controlador se utilizó la sintonía IMC-PID. Se probó la respuesta con diferentes controladores y se seleccionó el PID-Difuso con 25 reglas, con este controlador se obtiene un sobre nivel porcentual de 10% y tiempo de estabilización de 200 segundos.Palabras clave: Box Jenkin, control PID, lógica difusa, modelo paramétrico.

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“…Based on ultrasonic positioning technology, ultrasonic signals are easily interfered by reflective objects in the surrounding environment. When the ultrasonic signal attenuates, it will affect the measurement range, and these factors will affect the positioning accuracy [12,13,14]. Based on the positioning technology of machine vision, this method has high positioning accuracy and relatively comprehensive information, but it needs to process a large amount of data, which requires high processing capabilities of the processor, which leads to increased investment costs [15,16,17].…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Relationship Between Localization Accuracy and Sensor Array

Li¹

2022

Preprint

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The magnetic localization method has been widely studied, which is mainly based on the accurate mapping of the magnetic field generated by magnetic sources. Many factors affect localization accuracy in the experiment. Therefore, this paper tends to study the relationship between localization accuracy and sensor array with different experiments. This system uses a small magnet as the magnetic source, and the mathematical model of the magnetic positioning system is established based on the magnetic dipole model to estimate the magnetic field. The Levenberg-Marquardt algorithm was used to construct a magnetic positioning objective function for comparison experiments. Experimental results show:When the sensor is evenly distributed around the magnet, the positioning accuracy is higher than other layout of the sensor array, the average localization error is 0.47mm and the average orientation error is 0.92 degree.

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Analysis of Speed/Position Controller Based on Several Types of a Fuzzy Logic for Travelling Wave Ultrasonic Motor

Cited by 4 publications

References 19 publications

Comparison of T-Type Converter and NPC for the Wind Turbine Based on Doubly-Fed Induction Generator

Comparison of T-Type Converter and NPC for the Wind Turbine Based on Doubly-Fed Induction Generator

Modelo matemático por identificación paramétrica y diseño de controlador difuso en la sección de enfriamiento de una planta de calentamiento-enfriamiento de fluidos

Investigation of the Relationship Between Localization Accuracy and Sensor Array

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