Angular Velocity's Neural Network Observer of the Electric Drive of TVR - IM Type Implemented in Software Environment LabVIEW / L. E. Kozlova, E. V. Bolovin, L. A. Payuk
Уровень набора: (RuTPU)RU\TPU\network\2008, IOP Conference Series: Materials Science and EngineeringЯзык: английский.Страна: .Резюме или реферат: One of the common ways to manage a smooth starting and stopping of asynchronous motors are soft-start system. For this provision is necessary to use a closed speed asynchronous electric drive of tiristor voltage regulator - induction motor (TVR-IM) type. Using real sensors significantly increases the cost of installation and also introduces a number of inconveniences in the operation of the actuator. Observer has clear advantages that are created on artificial neural network. Creating a neural network observer in program graphic programming LabVIEW will allow to evaluate the speed of rotation of the asynchronous electric..Примечания о наличии в документе библиографии/указателя: [References: 14 tit.].Тематика: электронный ресурс | труды учёных ТПУ | угловые скорости | нейронные сети | электроприводы | LabVIEW | асинхронные двигатели | регуляторы | тиристоры Ресурсы он-лайн:Щелкните здесь для доступа в онлайн | Щелкните здесь для доступа в онлайнНет реальных экземпляров для этой записи
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[References: 14 tit.]
One of the common ways to manage a smooth starting and stopping of asynchronous motors are soft-start system. For this provision is necessary to use a closed speed asynchronous electric drive of tiristor voltage regulator - induction motor (TVR-IM) type. Using real sensors significantly increases the cost of installation and also introduces a number of inconveniences in the operation of the actuator. Observer has clear advantages that are created on artificial neural network. Creating a neural network observer in program graphic programming LabVIEW will allow to evaluate the speed of rotation of the asynchronous electric.
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