Method for mounting pattern in actual machine
First Claim
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 curve function corresponding to an approximate expression for the dot-sequential data is derived in a form of a finite series that uses time as an independent variable and the position, speed, or acceleration as a dependent variable, and data identifying the finite series is stored in a memory mounted in the automated guided vehicle.
1 Assignment
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Accused Products
Abstract
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.
30 Citations
3 Claims
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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 curve function corresponding to an approximate expression for the dot-sequential data is derived in a form of a finite series that uses time as an independent variable and the position, speed, or acceleration as a dependent variable, and data identifying the finite series is stored in a memory mounted in the automated guided vehicle. - View Dependent Claims (2, 3)
Specification