Sensor signal processing method with inverse proportional relation

Abstract

The invention discloses a sensor signal processing method with an inverse proportional relation. The method comprises the following steps: S100, determining at least two fixed points in an inverse proportional relation function of an inverse proportional relation sensor; s200, enabling a to-be-fitted inverse proportional relation function curve to pass through the two fixed points so as to establish a relation between to-be-determined parameters in the inverse proportional relation function; s300, giving an initial value of any to-be-determined parameter, and determining a fitting result under the given initial value according to the relation among the to-be-determined parameters in the inverse proportional relation function; s400, obtaining an error between a true value and a fitting value of the inverse proportional relation function on a third point with different fixed points, and adjusting an initial value of the given undetermined parameter to minimize the error; and S500, determining the fitting curve corresponding to the minimum error as a final fitting curve. The calculation amount is reduced, appropriate parameters are fitted by using relatively low resources, and the precision on a fixed point is higher.

Claims

1. A method for processing sensor signals having an inverse proportional relationship, characterized in that: The following steps are involved: S100: Determine at least two fixed points in the inverse proportional relationship function of the inverse proportional relationship sensor; S200: making the inverse proportional relationship function curve to be fitted pass through the two fixed points, thereby establishing a relationship between the undetermined parameters in the inverse proportional relationship function; S300: Given an initial value of any undetermined parameter, determining a fitting result under the given initial value according to the relationship between the undetermined parameters in the inverse proportional relationship function; S400: Obtaining an error between a true value and a fitted value of the inverse proportional relationship function at a third point different from the two fixed points, and adjusting an initial value of the given undetermined parameter to minimize the error; S500: Determine the fitting curve corresponding to the minimized error as the final fitting curve.

2. The sensor signal processing method according to claim 1, wherein: The inverse proportional sensor has an inverse proportional function in the following form: y=(c / (x+a))-b, Among them, y is the output quantity, x is the measured quantity, and a, b, and c are parameters to be determined.

3. The sensor signal processing method according to claim 2, wherein: At the fixed point, the output error of the sensor signal in the inverse proportional relationship is zero.

4. The sensor signal processing method according to claim 3, characterized in that: The coordinates of the two fixed points are (y1, x1) and (y2, x2), then: a=[y2*x2-y1*x1+b*(x2-x1)] / (y1-y2); c=(y1+b)*(x1+a); At this point, the relationship between a, b, and c is established.

5. The sensor signal processing method according to claim 4, characterized in that: The intersection interval of multiple products is obtained through product testing as the initial value of any of the undetermined parameters.

6. The sensor signal processing method according to claim 5, characterized in that: The initial value of the given undetermined parameter is adjusted by the golden section method so as to minimize the error.

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