Correction of the dynamic errors of a gas sensor based on the dynamic model with averaged parameters

The paper presents a numerical method of dynamic error correction applied to a measuring transducer of gas concentration with a typical sensor based on tin dioxide. The work describes research of the dynamic properties of the transducer. Its response time is approximately 8 to 10 minutes, which may be not acceptable in many applications. A parametric model of the transducer dynamics has been developed and an adequate correction algorithm is proposed. The obtained results of the dynamic correction based on the proposed method are compared with those achieved previously by applying a neural network algorithm. Despite the simplicity of the used model, the proposed method allows a significant decrease in the transducer response time.