Abstract
Flight data of aircraft has been difficult to obtain until now. For us to analyze, we needed special environment, contract etc. As a result, analysis up to now has been limited. However, from the big data environment, we have various data available. For example, there are BASE OF AIRCRAFT DATA (BADA) that can be used for operational performance model and numerical forecast GPV data released by Japan Meteorological Agency. Many researches have been conducted to evaluate the flight performance of aircraft using these, Especially when we can improve the operation of the aircraft, the annual cost is also greatly different, so the consciousness of cost reduction is very high. In this research, we focus on the side slip at flight and analyze it. Side Slip is a numerical representation of the state where the nose is shifted with respect to the traveling direction when the aircraft is in operation. The cause of this side slip may be imbalance at aircraft manufacturing, imbalance of engine thrust, or aileron rigging, but aircraft manufacturers do not clarify it. Moreover, this Side Slip is not described in the BADA model, and there are no analysis examples so far. If we can analyze this Side Slip, for safety, we can prevent inclination from occurring when turning the auto pilot to manual control by turning off the auto pilot and by reducing the resistance caused by Side Slip, for economy, the rate of increase And the descent rate are raised, and the effect such as fuel consumption when cruising is suppressed can be obtained.
https://ror.org/00vq1d511 
