Research on Temperature Measurement Using Nonlinear Dynamic Compensation
Niu Jun-ha · Techniques of Automation and Applications · 2014
In the temperature measurement and control system, there is a big nonlinear dynamic offset errors for temperature sensors measuring. The method of use extended Kalman filtering algorithm based on reference model is proposed for dynamic compensation of the temperature sensors. Using the extended Kalman filter for dynamic compensation of the parameter identification, resulting in more precise compensation, so offset errors on the temperature sensors are automatically compensated. The system designed by the authors of this paper may get effective temperature control, moreover, get some robustness and better speed response.