Abstract:

To address the lack of guidance in selecting release altitude and release velocity for fixed-wing firefighting aircraft dropping water, a rapid solution method based on improved tabu search algorithm is proposed, with the objective of maximizing the effective coverage zone of the water drop zone. Firstly, a water drop zone contour fitting model is established using a Newton iteration-based least squares method to process flight test data. Leveraging the dispersion patterns of water bodies, a dataset is generated according to release constraint parameters. Compensation coefficients are fitted using a back propagation （BP） neural network, and a model for solving the thickness distribution of the water drop zone is developed, establishing the mathematical model for the release condition solving problem. Then, the tabu search algorithm is improved by employing an initial solution generation strategy, a memorized search strategy, and an adaptive neighborhood solution search strategy. And the deployment condition calculation is completed through two stage low precision calculation and high precision calculation. Finally, simulation experiments validate the proposed method. This method not only has high solving accuracy, but also has a fast solving speed. The simulation results show that the algorithm proposed can effectively solve the problem of the lack guidance for the selecting release altitude and release velocity when fixed-wing firefighting aircraft dropping water.

Key words: fixed-wing aircraft, firefighting aircraft dropping water, release conditions solution, tabu search