关键词: 舰载机着舰, 飞行控制, 安全准则, 着舰试飞, 注意力机制

Abstract: To evaluate the landing capability of carrier-based aircraft under adverse sea conditions, it is necessary to conduct carrier landing flight tests under corresponding sea states. The high risks associated with such flight tests necessitate careful selection of test conditions. To this end, this paper proposes an attention mechanism-based safety assessment method for carrier landing flight tests. First, appropriate safety criteria for landing assessment are selected. Monte Carlo simulations are performed to obtain the distribution of criterion parameters during landing, with the mean and standard deviation taken as their statistical characteristics. Next, combining simulation data from all conditions with actual flight test data from completed conditions allows an attention-based neural network to learn the discrepancies in statistical characteristics between simulation and flight tests, and then to estimate landing outcomes for untested conditions. With the safety criteria, this approach yields a more reliable safety assessment. On this basis, using the safety assessment results, a demonstrative example illustrates the stepwise determination of each set of landing flight test conditions while exploring the capability boundary of sea states for carrier aircraft landing. This verification shows that the proposed method can provide recommended values for the next set of flight test conditions based on current safe operating conditions.

Key words: Carrier-Based Aircraft Landing, Flight Control, Safety Criteria, Carrier Landing Flight Tests, Attention Mechanism