Research On Dynamic Calibration And Error Compensation Of High Speed Infrared Temperature Sensor

Today,more and more production and research start to use infrared temperature sensor to measure high-frequency dynamic temperature changes.In this context,the dynamic calibration of high-speed response infrared temperature sensor and the dynamic measurement error compensation become more and more important.In this paper,a practical method of dynamic calibration of infrared temperature sensor is proposed.The calibration object of this paper is a high-speed response fiber optic infrared temperature sensor.By designing a high-speed on-off mechanism,the periodic temperature of the sensor can be quickly excited to obtain its dynamic temperature measurement characteristics.In this paper,the infrared temperature measurement principle research,infrared calibration system design and verification,system acquisition and control software design,system setup and actual calibration experiments.In addition,the method of dynamic error compensation is also studied.The method of inverse filter is applied to the error compensation of infrared temperature sensor.Finally,the feasibility and effectiveness of this method are verified by experiments and simulation.This article is divided into chapters as follows:The first chapter mainly studies the research status of infrared optical fiber temperature sensor,dynamic calibration of temperature sensor and dynamic error compensation at home and abroad.In addition,the research background,significance and main contents of this paper are also introduced.The second chapter mainly studies the principles and methods of radiation temperature measurement and calibration.From the theory of blackbody radiation,the principle of infrared radiation temperature measurement,the classification of radiation temperature sensor,to the structure and principle of optical fiber temperature sensor,and finally the static and dynamic calibration methods of radiation temperature sensor.The third chapter has designed infrared temperature sensor calibration system and supporting software.Mainly includes the principle of the calibration system,the overall design,the choice of each module components,key components and acquisition and control software module design.Based on the completion of the infrared calibration system,the fourth chapter calibrates the corresponding infrared temperature sensors statically and dynamically,obtains a series of parameters of the sensors,and analyzes the uncertainty of the calibration system.The fifth chapter mainly includes three parts.Firstly,the dynamic mathematical model of the sensor and the analysis and simulation of the dynamic measurement error are studied.Secondly,in view of the inverse problem of output estimation input,the inverse filter method is applied to the dynamic error compensation of infrared temperature sensor,and the method is studied.Finally,through the experiment and simulation,the transducer of the sensor is identified and the error filter is added by adding the inverse filter,and the validity of the method is verified.The sixth chapter summarizes this article and reflects on the inadequacies,and makes a prospect for further research.