Research on the system for the nonlinear correction of the thermal resistance transducer

For the purpose of better application, the nonlinear correction of the transducer is very important. In this paper, the nonlinear correction system for the thermal resistance transducer is researched to realize the nonlinear correction. The system consists of five parts including the thermal resistance transducer, the amplifying circuit, AD converting circuit, digital signal processor (DSP) unit and display module. As for the algorithms that are applied in the system, the neural network method and linear interpolation method are discussed. And nonlinear correction experiments by means of the two kinds of algorithms were done. Through the experiments, it is proved that the nonlinear correction system based on DSP is able to realize the nonlinear correction of the thermal resistance transducer, and the neural networks algorithm is more effective and accurate than the linear interpolation method.