Abstract
In recent years, with the continuous upgrading of technology, flight accidents caused by aircraft failures have been greatly reduced. It has become the most important cause of major aviation accidents that pilots operate aircraft into complex state and fail to recover. It is very important to train pilots with UPRT, so it is urgent to improve the UPRT performance of existing flight simulators. This paper proposes an improved washout algorithm for UPRT scenario. The key point of the algorithm is to combine the advantages of the washout algorithm based on model predictive control and the classical washout algorithm. The washout algorithm based on model predictive control (MPC washout algorithm) can simulate large amplitude and low frequency motion better, and has greater space utilization, while the classical washout algorithm is efficient and simple, and has better simulation effect for small amplitude and high frequency motion. By setting the exponential weighted fusion algorithm to fuse the output of the two algorithms, it can have better dynamic simulation effect in large and small motion, and is more suitable for UPRT scenario. In addition, it also saves the time of designing and debugging algorithms or parameters separately for different missions.
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Tang, W., Wang, Z., Fu, S. (2021). An Improved Washout Algorithm for UPRT Scenario. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. HCII 2021. Lecture Notes in Computer Science(), vol 12767. Springer, Cham. https://doi.org/10.1007/978-3-030-77932-0_6
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