Study on Flight Quality Evaluation Algorithm Based on Volatility Channel and TOPSIS

In flight training, the traditional flight quality evaluation is mainly based on the instructor's experience and simple flight parameters, which is characterized by strong subjectivity and inaccurate evaluation results. To solve this problem, this paper improved TOPSIS by confirming the weight of index with entropy weight method, and combined the Bollinger bands with TOPSIS to objectively and accurately evaluate the flight quality. In order to make the data reliable and practical, the flight data used in this paper came from the FlightGear flight simulator. After the objective evaluation, the relevant parameters were processed, and the change curves of flight parameters and three-dimensional flight trajectories were generated to reproduce the flight process. In this way, instructors can make subjective evaluation and pilots can find out the problems easily in the training process to improve their level of flight training.