Sensor Based on Multiple Regression Algorithm

Abstract:Aimed at the nonlinear error of the triangulation laser displacement sensor，the principle of error generation is analyzed，and a targeted error modeling algorithm is proposed.Through modeling，the error can be estimated in real time，and the measurement value of the sensor can be added to compensate the error，so as to achieve the purpose of improving the measurement accuracy of the sensor.Finally，a corresponding error measurement method is proposed，the experimental measurement and modeling of the error is conducted，and the model compensation effect is verified.The verification result shows that the detection accuracy of the sensor can be greatly improved through compensation.