Optimization Method of Overall Performance Parameters of Torpedo via Simulation Based on Neural Network Response Surface

Underwater acoustic homing simulation can exhibit operational effectiveness of a torpedo in a real environment, however a large number of sample data is needed in the simulation for the overall performance parameters optimization of the torpedo, thus optimization time becomes the bottleneck. Based on the quick neural network response surface method(NN-RSM), this paper uses the space mapping method to reduce the cost of optimization calculation and directly get the optimal solution to the underwater acoustic homing system. Subsequently, the overall performance indices of a torpedo, such as homing range and damage radius, are optimized. Optimization results show that effective optimization of the original problem is achieved with computation time less than 1/20 that of the general optimization methods. The present method can be applied to optimization of other complicated system with multiple parameters and multiple objectives.