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NEURAL NETWORK BASED CONTROLLER FOR UPS INVERTER APPLICATIONS | UPS Inverter Application Based on Neural Network | Deepak Goyal | Taschenbuch | 56 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200531933 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 117989614
Uninterruptible power supplies (UPSes) are used to provide back up power to critical loads, where even a temporary power failure causes large economic losses. The UPSes are used in applications like computer installations, process control in chemical plants, and general communication systems. The function of UPS is to provide a high quality sinusoidal voltage and for this it needs to be controlled. Conventional controllers cannot provide the exact sinusoidal output with the nonlinear loads. The artificial neural network controller having an advantage of adaptability to all loads. The neural network controller is built and trained by using patterns obtained from a simulated controller with multiple feedback loops having an idealized load-current reference. The weights and biases are downloaded to neural network controller and then it is used for online control of inverter. This is to achieve low total harmonic distortion and pure sinusoidal output.
Title: NEURAL NETWORK BASED CONTROLLER FOR UPS ...
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2020
Binding: Taschenbuch
Condition: Neu
Seller: Buchpark, Trebbin, Germany
Condition: Hervorragend. Zustand: Hervorragend | Seiten: 56 | Sprache: Englisch | Produktart: Bücher | Uninterruptible power supplies (UPSes) are used to provide back up power to critical loads, where even a temporary power failure causes large economic losses. The UPSes are used in applications like computer installations, process control in chemical plants, and general communication systems. The function of UPS is to provide a high quality sinusoidal voltage and for this it needs to be controlled. Conventional controllers cannot provide the exact sinusoidal output with the nonlinear loads. The artificial neural network controller having an advantage of adaptability to all loads. The neural network controller is built and trained by using patterns obtained from a simulated controller with multiple feedback loops having an idealized load-current reference. The weights and biases are downloaded to neural network controller and then it is used for online control of inverter. This is to achieve low total harmonic distortion and pure sinusoidal output. Seller Inventory # 36057303/1
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Goyal DeepakI am working as Asst. Prof. In Electronics & Communication Engg. I had work experience of 20 Years and currently i am pursuing my Ph.D in Energy Harvesting.Uninterruptible power supplies (UPSes) are used to provide ba. Seller Inventory # 385893348
Quantity: Over 20 available
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Uninterruptible power supplies (UPSes) are used to provide back up power to critical loads, where even a temporary power failure causes large economic losses. The UPSes are used in applications like computer installations, process control in chemical plants, and general communication systems. The function of UPS is to provide a high quality sinusoidal voltage and for this it needs to be controlled. Conventional controllers cannot provide the exact sinusoidal output with the nonlinear loads. The artificial neural network controller having an advantage of adaptability to all loads. The neural network controller is built and trained by using patterns obtained from a simulated controller with multiple feedback loops having an idealized load-current reference. The weights and biases are downloaded to neural network controller and then it is used for online control of inverter. This is to achieve low total harmonic distortion and pure sinusoidal output.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Seller Inventory # 9786200531933
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Uninterruptible power supplies (UPSes) are used to provide back up power to critical loads, where even a temporary power failure causes large economic losses. The UPSes are used in applications like computer installations, process control in chemical plants, and general communication systems. The function of UPS is to provide a high quality sinusoidal voltage and for this it needs to be controlled. Conventional controllers cannot provide the exact sinusoidal output with the nonlinear loads. The artificial neural network controller having an advantage of adaptability to all loads. The neural network controller is built and trained by using patterns obtained from a simulated controller with multiple feedback loops having an idealized load-current reference. The weights and biases are downloaded to neural network controller and then it is used for online control of inverter. This is to achieve low total harmonic distortion and pure sinusoidal output. 56 pp. Englisch. Seller Inventory # 9786200531933
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Uninterruptible power supplies (UPSes) are used to provide back up power to critical loads, where even a temporary power failure causes large economic losses. The UPSes are used in applications like computer installations, process control in chemical plants, and general communication systems. The function of UPS is to provide a high quality sinusoidal voltage and for this it needs to be controlled. Conventional controllers cannot provide the exact sinusoidal output with the nonlinear loads. The artificial neural network controller having an advantage of adaptability to all loads. The neural network controller is built and trained by using patterns obtained from a simulated controller with multiple feedback loops having an idealized load-current reference. The weights and biases are downloaded to neural network controller and then it is used for online control of inverter. This is to achieve low total harmonic distortion and pure sinusoidal output. Seller Inventory # 9786200531933