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Thesis
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Sisteme inteligente autoadaptive pentru controlul acţionărilor electro-hidraulice industriale
Macrea, Tudor
2011-09-06
Abstract: ABSTRACT Intelligent auto-adaptive systems for the control of industrial electro-hydraulic drives The dissertation approaches a research field that is in full expansion, i.e. the modern process automations, characterized besides the control of parameters like positions, forces, speeds, accelerations etc. by accuracies that until recently seamed to be inaccessible for the implementation of functions from the artificial intelligence area. The dissertation synthesizes an intensive and wide spread research activity that was performed in Romania and abroad during several years, being concentrated on the achievement of automation modules dedicated to electro-hydraulic drive systems, designed and applied industrially and including self-adapting and learning attributes which are included in specific modules. in the second part of the paper, where the original contributions are shown, the most relevant being the following: the study of the hydraulic phenomenon and of the servo-hydraulic drive components, highlighting the calculation relations used later on in defining the theoretic physical-mathematical model and the simplified model, so that it can be applied in practice, definition of an optimal control diagram, covering the industrial application requirements, selection of the hardware and software structure for the development and testing of the automation system, represented by the LogiCAD programming means and the „on line” ibaPDA testing and programming system, the designing and programming of the modules and of the automatic control assembly for servo-hydraulic drives that are specific for rolling mills, that have been then tested for their performance in the specialty laboratory of the German company Schloemann-Siemag and last but not least the entire designing of the automation for a coiler without mandrel– coilbox – a technological assembly of high complexity, including a number of 12 complex servo-hydraulic drives, many of them being concurrent. Remarkable are the self-adapting attributes given to the automation modules both by a „ feed back” regime and the adaptive learning functions, implemented in the system.
Keyword(s): Automatizare -- Teză de doctorat ; Acţionări electro-hidraulice -- Teză de doctorat ; Informatică industrială -- Teză de doctorat ; Sisteme inteligente -- Teză de doctorat ; Laminoare -- Proiectare -- Teză de doctorat
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Record created 2017-03-13, last modified 2017-03-13
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