A supervision algorithm for controlling of continuous casting (CC) process is presented. The control strategy is based on the observation of temperature distribution through the casting strand. The algorithm is composed of two parts, an original 3D transient numerical model of the temperature field and the fuzzy‐regulation model. The numerical model calculates and predicts the temperature distribution while the fuzzy‐regulation model tracks the temperature in specific areas and tunes the casting parameters such as the casting speed, the cooling intensities in the secondary cooling, etc. The main goal is to keep surface and core temperatures in the specific ranges corresponding with the hot ductility of steel and adequately reacts on the variable casting conditions. The results show good and robust control behavior, fast response to dynamic system changes and general applicability for any CC process.
SHRNUTÍ
Tento članek popisuje metodu automatickeho navrhu siluety vozu. V průběhu historie vzniklo mnoho automobilů jejichž rysy jsou do značne miry podobne. Tyto rysy (siluety) můžeme extrahovat pomoci statisticke metody analyzy hlavnich komponent a použit je pro navrh nove siluety, ktera je dale optimalizovana pomoci genetickych algoritmů. Proces optimalizace zohledňuje zadane fyzikalni parametry jako je objem prostoru pro motor, zavazadla a pasažery. Vysledek produkovany algoritmem pak slouži jako inspirace pro člověka-designera a může byt zobecněn na vybrany typ produktu.
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