Intelligent Simulation of Thermal Load of Sensors

Sensors are part and parcel of most automatic control systems. Thermal load of sensors affects the accuracy of measurement and control. Mathematical model of temperature field of a sensor is described by the Fourier partial differential equation. Validity of the mathematical model of temperature field of a sensor depends on accuracy of physical parameters describing both sensor and sensor´s ambient. To rectify an estimate of parameters of the mathematical model, the laboratory physical model incorporating both the actual sensor and the sensor´s real working assembly is constructed. The validation of the mathematical model is based on comparison of calculated surface temperature with that measured by the infrared camera on physical model. Image processing principles are used for models comparison. To determine the parameters of the model the artificial intelligence knowledge based system is applied. Both the general method and the complex case study results are presented.