水下航行体水动力参数智能辨识方法研究

Research of hydrodynamic parameter identification for underwater vehicle using swarm intelligence algorithm

通过水下航行体的状态方程和试验观测方程,利用智能辨识技术对水下航行体的模拟运动数据进行了仿真辨识,求得了10个水动力参数。结果表明,智能算法简单有效,对目标函数没有可微性和连续性要求,避免了复杂的梯度矩阵计算,适合在复杂的非线性水动力系统辨识中应用。

Based on underwater vehicle＇s nonlinear differential equation and observation equations,swarm intelligence algorithm is used to identify ten hydrodynamic parameters from simulation observed data of the motions of underwater vehicle.Experimental results show that this method is highly effective and efficient, and moreover it has no requirements on the differentiability and continuity of the objective function,and consequently does not need to perform complex matrix calculations,so this method is suitable for applications in identification of nonlinear hydrodynamics of complex system.