Research of the system of loose material automated precision batching [Electronic resource] / V. M. Karaban
Уровень набора: (RuTPU)RU\TPU\book\169973, Bulletin of the Tomsk Polytechnic University / Tomsk Polytechnic University (TPU) = 2006-2007Язык: английский ; оригинала, русский.Страна: Россия.Описание: 1 файл (542 Кб)Серия: Power engineeringРезюме или реферат: The imitating model of the system of loose material automated batching, including the robust system of engine control of auger feeder has been considered. The model is described in space of conditions by means of the programming language MATLAB, the interface of S-functions and the Simulink environment. The Kalman filter is used for noise filtration in the channel of measurement. Graphic representation of modeling results proves adequacy of the imitating batching model, the efficiency of the method of regulator parameter retuning and expediency of using the algorithm of measured signal filtration. A weight error at parametrical indignations influence on the worm feeder engine without retuning regulator parameters amounts to 0,3 kg (+3 %) at the set 10 kg, and with retuning regulator parameters amounts 0,01 kg (+0,1 %)..Примечания о наличии в документе библиографии/указателя: [Bibliography: p. 101 (5 titles)].Тематика: system automated batching | loose materials | imitation models | robust systems | engines | control systems | auger feeders | programming languages | noises | filtration | Kalman filter | regulators | signals | труды учёных ТПУ | электронный ресурс Ресурсы он-лайн:Щелкните здесь для доступа в онлайнЗаглавие с титульного листа
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[Bibliography: p. 101 (5 titles)]
The imitating model of the system of loose material automated batching, including the robust system of engine control of auger feeder has been considered. The model is described in space of conditions by means of the programming language MATLAB, the interface of S-functions and the Simulink environment. The Kalman filter is used for noise filtration in the channel of measurement. Graphic representation of modeling results proves adequacy of the imitating batching model, the efficiency of the method of regulator parameter retuning and expediency of using the algorithm of measured signal filtration. A weight error at parametrical indignations influence on the worm feeder engine without retuning regulator parameters amounts to 0,3 kg (+3 %) at the set 10 kg, and with retuning regulator parameters amounts 0,01 kg (+0,1 %).
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