The paper presents part of the work that has been undertaken by the University of Padova (Italy) in the frame of a two-year European CRAFT project in collaborntion with the University of Paderborn (Germany) and some European Companies. Subject of the paper is n software tool for the selection and the commissioning of speed and position controllers for a two-mass system with mechnnicnl imperfections such as friction and backlash. As it Is thought to be as easy-to-use for the industry commissioning personnel, it provides hints for the selection of the most suitable control algorithm among a broad choice of built-in solutions, also performing an initial self-tuning of the related parameters. The commissioning is based on n mathematical model of the system, whose identification is a n integrant part of the CRAFT project, and thnt was one of the tnsks developed by the University of Pnderhorn. This paper highlights the features of the selection and commissioning tool, that also makes use of fuzzy-logic based artificial experience algorithms for the performance evaluation.
Computer-Aided Commissioning of Electrical Drives for Two-Mass-Systems with Mechanical Imperfections
BOLOGNANI, SILVERIO;ZIGLIOTTO, MAURO;
1999
Abstract
The paper presents part of the work that has been undertaken by the University of Padova (Italy) in the frame of a two-year European CRAFT project in collaborntion with the University of Paderborn (Germany) and some European Companies. Subject of the paper is n software tool for the selection and the commissioning of speed and position controllers for a two-mass system with mechnnicnl imperfections such as friction and backlash. As it Is thought to be as easy-to-use for the industry commissioning personnel, it provides hints for the selection of the most suitable control algorithm among a broad choice of built-in solutions, also performing an initial self-tuning of the related parameters. The commissioning is based on n mathematical model of the system, whose identification is a n integrant part of the CRAFT project, and thnt was one of the tnsks developed by the University of Pnderhorn. This paper highlights the features of the selection and commissioning tool, that also makes use of fuzzy-logic based artificial experience algorithms for the performance evaluation.Pubblicazioni consigliate
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