Method for mounting pattern in actual machine
AssigneeMurata Kikai Kabushiki Kaisha
InventorsToshiki Moriguchi, Takeshi Murakami
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AssigneeMurata Kikai Kabushiki Kaisha
InventorsToshiki Moriguchi, Takeshi Murakami
Estimating the term…
When dot-sequential data indicating a temporal variation in position, speed, or acceleration is stored in a memory in an automated guided vehicle as it is, the capacity of the memory is insufficient and thus needs to be increased. A pattern is mounted in a stacker crane 1; the pattern is drawn by dot-sequential data indicating a temporal variation in acceleration (FIG. 2C), and corresponds to an instruction value provided to an actuator installed in the stacker crane 1. In this case, a curve function corresponding to an approximate expression for the dot-sequential data is derived in a form of a Fourier series having a finite number of terms and using time as an independent variable and the position, speed, or acceleration as a dependent variable. Data identifying the Fourier series, having a finite number of terms, is stored in a memory 5 mounted in the stacker crane 1.
A method for mounting a pattern in an automated guided vehicle, the pattern being drawn by dot-sequential data indicating a temporal variation in position, speed, or acceleration, the pattern corresponding to an instruction value provided to an actuator installed in the automated guided, the method being characterized in that:
A method for mounting a pattern in an actual machine according to claim 2 or claim 3, characterized in that the dot-sequential data is divided into a plurality of parts and the finite series is derived for each of the resulting parts, in that coefficients for the terms constituting the finite series for each of the parts are stored in the memory, and in that, in particular, for one of the plurality of parts in which the automated guided vehicle makes only uniform motion, a constant indicating the position or speed or acceleration is stored in the memory instead of the coefficients for the finite series.
Dependencies are inferred from the claim text.