Static characteristics of Sick sensors
The static characteristics of the Sick sensor refer to the correlation between the output and the input of the Sick sensor for the static input signal. Since the input quantity and the output quantity are independent of time, the relationship between them, i.e., the static characteristics of the sensor, can be described by an algebraic equation without time variables, or by drawing a characteristic curve with the input quantity as the abscissa and the corresponding output quantity as the ordinate. The main parameters that characterize the static characteristics of the sensor are: linearity, sensitivity, hysteresis, repeatability, drift, etc.
(1) Linearity: refers to the degree to which the actual relationship curve between the output and input of the sensor deviates from the fitting straight line. Defined as the ratio of the maximum deviation between the actual characteristic curve and the fitted line over the full scale range to the full-scale output.
(2) Sensitivity: Sensitivity is an important indicator of the static characteristics of the sensor. It is defined as the ratio of the increment of the output to the corresponding increment of the input that caused the increment. S is used to indicate sensitivity.
(3) Hysteresis: The phenomenon that the input and output characteristic curves of the Sick sensor do not coincide during the change of the input amount from small to large (positive stroke) and the input amount from large to small (reverse stroke) becomes hysteresis. For input signals of the same size, the forward and reverse stroke output signals of the Sick sensor are not equal, and this difference is called the hysteresis difference.
(4) Repeatability: Repeatability refers to the degree of inconsistency of the characteristic curve obtained by the sensor when the input quantity changes continuously in the full scale in the same direction.
(5) Drift: The drift of the Sick sensor refers to the change of the output of the sensor with time under the condition that the input amount remains unchanged, which is called drift. There are two reasons for drift: one is the structural parameters of the sensor itself; The second is the surrounding environment (such as temperature, humidity, etc.).
Dynamic characteristics of Sick sensors
The so-called dynamic characteristics refer to the characteristics of the output of the Sick sensor when its input changes. In practice, the dynamic characteristics of a sensor are often expressed in terms of its response to some standard input signal. This is because the response of the Sick sensor to the standard input signal is easy to find experimentally, and there is a certain relationship between its response to the standard input signal and its response to any input signal, and the latter can often be inferred knowing the former. The most commonly used standard input signals are step signal and sinusoidal signal, so the dynamic characteristics of Sick sensors are also expressed in step response and frequency response.
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