Virtual sensor design temperature for a dryer using a Kalman filter

This paper aims at introduction, design and validation of a temperature virtual sensor for an infrared dryer. As proposed in this article, a virtual sensor is an algorithm to estimate the temperature at one or some points in a thermal system (e.g. an infrared dryer) based on the measured temperature at a number of other points. In this research, the designed algorithm estimates the temperature of a single point; however, the methodology can be evidently extended to multiple points.  Inspired by direct and inverse heat transfer models, a mathematical model is presented for virtual sensing. In the present study, we sensors that report temperature drying are performed, with the help of MATLAB and using a Kalman filter with an alternative estimator algorithm. First dryer with equipment in the lab was built and all the various trials that it was necessary to obtain data on the device. Mathematical models in state-space system were defined and then the least-square algorithm in MATLAB matrix coefficients of the equation of state of the system was identified. Then we just supposed to remove a thermocouple. The obtained model was used for planning the optimal Kalman filter. Next, remove the thermocouple temperature was estimated by the Kalman filter. Compare the actual temperature measured by the temperature and time of desired precision thermocouple measurement algorithms as well as Virtual temperature indicated.