STUDY OF ADVANCED CONTROL ALGORITHMS FOR POSITIVE YARN FEEDERS (Q4197085)
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Project Q4197085 in Italy
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | STUDY OF ADVANCED CONTROL ALGORITHMS FOR POSITIVE YARN FEEDERS |
Project Q4197085 in Italy |
Statements
12,500.0 Euro
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25,000.0 Euro
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50.0 percent
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L.G.L. ELECTRONICS SPA
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GLI ALGORITMI DI CONTROLLO ATTUALMENTE IMPIEGATI NEGLI ALIMENTATORI POSITIVI DI FILATO, IMPIEGATI SU MACCHINE DA MAGLIERIA, SONO BASATI SU ARCHITETTURE PID. QUESTI SISTEMI PRESENTANO ALCUNI SVANTAGGI, RIASSUMIBILI IN: NECESSITÃ DI TARATURA DEI PARAMETRI DEL CONTROLLO PER OGNI TIPOLOGIA DI FILATO UTILIZZATO E PRESTAZIONI MODESTE IN DETERMINATE CONDIZIONI DI LAVORO. IL PROGETTO PORTERÃ ALLO SVILUPPO DI UN SISTEMA DI CONTROLLO AVANZATO CHE SUPERI I LIMITI DEI SISTEMI ATTUALI, RENDENDO LÂ ALGORITMO AUTO Â ADATTIVO RISPETTO ALLE CONDIZIONI DI LAVORO E CHE AUMENTERÃ LE PRESTAZIONI IN CONDIZIONI DI LAVORO CRITICHE. (Italian)
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THE CONTROL ALGORITHMS CURRENTLY USED IN POSITIVE YARN FEEDERS, USED ON KNITTING MACHINES, ARE BASED ON PID ARCHITECTURES. THESE SYSTEMS HAVE A NUMBER OF DISADVANTAGES, WHICH CAN BE SUMMARISED AS: IT REQUIRES CALIBRATION OF THE CONTROL PARAMETERS FOR EACH TYPE OF YARN USED AND LOW PERFORMANCE UNDER CERTAIN WORKING CONDITIONS. THE PROJECT WILL LEAD TO THE DEVELOPMENT OF AN ADVANCED CONTROL SYSTEM THAT EXCEEDS THE LIMITS OF THE CURRENT SYSTEMS, MAKING THE AUTO ALGORITHM ADAPTIVE TO WORKING CONDITIONS AND THAT WILL INCREASE PERFORMANCE IN CRITICAL WORKING CONDITIONS. (English)
31 January 2022
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LES ALGORITHMES DE CONTRÔLE ACTUELLEMENT UTILISÉS DANS LES MANGEURS DE FILS POSITIFS, UTILISÉS SUR LES MACHINES À TRICOTER, SONT BASÉS SUR DES ARCHITECTURES PID. CES SYSTÈMES PRÉSENTENT UN CERTAIN NOMBRE D’INCONVÉNIENTS, QUI PEUVENT SE RÉSUMER COMME SUIT: IL NÉCESSITE UN CALIBRAGE DES PARAMÈTRES DE CONTRÔLE POUR CHAQUE TYPE DE FIL UTILISÉ ET UNE FAIBLE PERFORMANCE DANS CERTAINES CONDITIONS DE TRAVAIL. LE PROJET CONDUIRA AU DÉVELOPPEMENT D’UN SYSTÈME DE CONTRÔLE AVANCÉ QUI DÉPASSE LES LIMITES DES SYSTÈMES ACTUELS, RENDANT L’ALGORITHME AUTO ADAPTABLE AUX CONDITIONS DE TRAVAIL ET QUI AUGMENTERA LES PERFORMANCES DANS DES CONDITIONS DE TRAVAIL CRITIQUES. (French)
2 February 2022
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GANDINO
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