Heading Control Of Fishery Ship Based On Improved Particle Swarm Optimization Algorithm

The improved particle swarm optimization(PSO)algorithm is used to solve the complex nonlinear optimization problems in the field of fishery ship control.In the study of the history of fishery ships,the motion of fishery ships is not linear,and the general motion models of fishery ships are uncertain and nonlinear.Therefore,This paper mainly discusses the nonlinear movement of fishing boats on the sea course,and the main research contents and methods are as follows: First of all,Type based on the response servo system mathematical model,steering gear,the wave interference model and PID controller to design the fishing vessel heading control simulation model,and in the fishing vessel heading control PID control combined with improved particle swarm optimization algorithm(PSO).It is used to simulate the heading control of fishing boats at sea.The principle of improved particle swarm optimization algorithm is continuous learning and cooperation among particles to generate the global optimal particle swarm optimization to find the adaptive value,get a better control performance of PID parameters value to control the fishing vessel heading.This algorithm is used to search for a specific objective function.The best position particles are found in the solution space,the particles learn from each other,and all the particles are clustered at the global optimal position.The improved particle swarm optimization algorithm belongs to the category of intelligent search optimization.The optimal position is the position of the optimal control parameters,which can achieve the best course performance of the control fishing boat.The experimental results show that when the control parameters obtained by the improved particle swarm optimization algorithm are respectively corresponding to the fishing boat control system,the overshoot of the heading Angle is very small when the fishing boat turns.Secondly,In order to study the relationship between the control performance of the fishery ship’s heading control system,the objective function of the fishery ship’s heading control system is designed.Considering the influence of particle swarm iteration number and objective function on the heading controller of fishery ship,this paper mainly studies changing the number of iteration and the objective function to compare the corresponding PID parameters,analyzes the corresponding PID parameters corresponding to different control effects,and then obtains the optimal control effect.The results of this paper show that the PID control parameters with better control effect can be obtained quickly when the number of iterations is 90,and then the number of iterations keeps changing but the PID control parameters do not change.Finally,Adjust the Angle of the rudder Angle to verify that the above conclusions are applicable for different rudder angles.