Research On Optimization Of Detection And Positioning Method Based On Underwater Active And Passive Electrolocation

Underwater detection equipment plays a vital role in the development of marine resources.With the further development of ocean development,underwater detection and positioning technology,as one of the key technologies of underwater detection equipment,is facing many severe tests.An underwater electrolocation technology,which originated from the positioning mechanism of weak electric fish,began to enter people’s field of vision.Compared with the common underwater acoustic and underwater optical positioning technologies,it can effectively overcome the interference of water environment and other external factors,and the system structure is relatively simple and the cost is lower,which can be used as an effective supplement to other detection and positioning technologies.Therefore,the research on underwater electrolocation technology has certain scientific significance and application value.Based on the principle of underwater electrolocation of weak electric fish,this paper studies the underwater active and passive electric field response characteristics of the target object,and on this basis,studies the underwater electrolocation algorithm,and proposes an improved algorithm based on active and passive electrolocation.And the effectiveness of the improved algorithm is verified through simulation.In summary,the main research contents of this paper are as follows:1.Based on the basic theory of electromagnetic field,the underwater positioning principle of weak electric fish is analyzed in detail.By simulating the positioning system of weak electric fish,a simplified model of the underwater electrolocation system is constructed.2.The underwater electric field response characteristics of the target are studied by finite element simulation,and the finite element models of two-dimensional underwater active and passive electrolocation systems are established in ANSYS respectively.On this basis,the active electric field response characteristics of copper,aluminum and iron cylinders and the passive electric field response characteristics of signal sources are simulated.The simulation results show that the active electric field response characteristic of the object is "concave",and the passive electric field response characteristic of the signal source is "convex",and the change of excitation amplitude and frequency will not affect these two characteristics.3.According to the underwater electric field response characteristics of the target,the underwater positioning problem is transformed into an optimization problem,and four common meta-heuristic optimization algorithms and Electric Fish Optimization(EFO)algorithm based on active and passive electric field positioning are explored.And the feasibility of applying EFO algorithm to underwater electrolocation is verified by simulation.4.To improve the shortcomings of the EFO algorithm,three improved algorithms(L-GSEFO algorithm,MEFO algorithm,EFOWOA combined optimization algorithm)are designed.The performance of the improved algorithm is analyzed through simulation.The simulation results show that the L-GSEFO algorithm and the EFOWOA combined optimization algorithm have different degrees of improvement in the optimization accuracy,stability and convergence speed.