A sideslip (p) sensor calibration method based on fuzzy logic is developed to improve the accuracy and reliability of the sensor. Corrections to the measured values are assumed to be dependent on five variables: Mach number, indicated angle of sideslip, calibrated angle of attack, roll rate and yaw rate. Using fuzzy logic as a multi-dimensional method for nonlinear functional approximation, the calibration system will output the correction to the sensed P upon input of these five variables. In addition to being robust inherent in a fuzzy logic algorithm, this calibration method allows all influencing variables to vary at the same time in a given flight maneuver. Therefore, the number of flights required to calibrate the sensor can be reduced.

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