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In this paper, ANFIS method was first applied to multi-hole pitot tube calibration modeling owing to its capability of efficient learning, easy implementation and excellent explanation through fuzzy rules. The results show that ANFIS method can help identify the dominant parameters and construct fuzzy learning system. After the determination of the ANFIS structure from the calibration data, the network of pitot tube calibration parameters was established and the correlation among non-dimensional pressure coefficients, flow angle and flow velocity were constructed as well. Due to its programmability, ANFIS can be integrated with real-time data acquisition system and wind tunnel, a large database consisting of flow properties, flow angles and the non-dimensional pressure coefficients can be efficiently established and is also helpful for shortening the calibration procedures

Application of ANFIS Method to the Non-nulling Calibration of Multi-hole Pitot Tube