Research On Identification Algorithm Of Hydrodynamic Parameters Of Underwater Vehicles

Hydrodynamic parameters are the key parameters of underwater vehicle design.When the selected model is tested,if the important parameters can be quickly and effectively identified by the algorithm,it will be of vital significance to the model design and performance improvement.Therefore,it is critical to find an optimal algorithm to solve the problem.In the process of analyzing the traditional algorithm,it is found that genetic algorithm and simulated annealing algorithm have their disadvantages,but they can complement each other.Therefore,this paper considers combining the advantages of the two algorithms to form a new hybrid algorithm.First of all,in reference to the torpedo in the underwater mathematical model,based on the knowledge of dynamics and kinematics,in the underwater vehicle force and moment analysis after the establishment of space kinematics equations,and the equations are simplified;The second is the selection of identification criteria and parameter identification algorithm.The identification criterion chosen in this paper is the least square method,but there are some optimization changes in the process of using it.The selected identification algorithms are immune algorithm,genetic algorithm and simulated annealing algorithm.Then it is to use different identification algorithms to identify the parameters of the selected model,according to the identification results of the above three algorithms to choose,leaving a better genetic algorithm and simulated annealing algorithm,and then to optimize and mix the remaining algorithm,will get the adaptive genetic simulated annealing optimization algorithm.Finally,it verifies the effectiveness of the hybrid algorithm by using the actual model test,and obtains the conclusion that the hybrid algorithm is effective.