Research On Control Of Three-phase Permanent Magnet Synchronous Motor Of ROV Power System Based On Improved Chicken Swarm Algorithm

The ocean is rich in resources,and ROV is an important tool for humans to detect marine resources.ROV is a complex system,In general,ROV consists of a surface control system,an umbilical cable and an underwater system.The sealed pressure-resistant housing,power system,observation and illumination system,underwater operation function,attached external tools,and sensor communication control system constitute an underwater system.Because the three-phase permanent magnet synchronous motor has the advantages of simple structure,small running power consumption and fast response speed,it is widely used in the power system.Therefore,it is extremely important to study the speed control of the three-phase permanent magnet synchronous motor.This paper first elaborates the background and significance of the topic in detail,and introduces the research status of ROV at home and abroad.Since the power system has an extremely important influence on the operating state of ROV,the three-phase permanent magnet synchronous motor is often used for ROV power.In the system,therefore,this paper chooses to study the control of three-phase permanent magnet synchronous motor.Secondly,the three-phase permanent magnet synchronous motor is modeled and analyzed.Starting from the Faraday electromagnetic induction theorem,the derivation process of the three-phase permanent magnet synchronous motor mathematical model is introduced in detail,and the three-phase permanent is obtained by Clark transform and Park transform.Electrical equations and dynamic equations of a magnetic synchronous machine in a synchronous rotating coordinate system.After that,the principle of motor vector control and the selection of the speed control loop and current control loop parameters and the design method are introduced in detail.The basic vector control is simplified by the traditional control theory when designing the parameters.The control accuracy cannot meet the requirements,so the intelligent algorithm is used to optimize the controller parameters.Subsequently,the principle of the flock algorithm and the corresponding evolution formula are introduced in detail,and the defects of the basic flock algorithm are analyzed.The bug-integrated cuckoo algorithm,particle swarm algorithm and pull-up hypercube sampling are improved.The test function isused to test the performance of the flock algorithm,and the steps of optimizing the controller parameters using the improved flock algorithm are analyzed in detail.Finally,through the simulation analysis of the three-phase permanent magnet synchronous motor with no-load start,load start and sudden load sudden load reduction,the above control strategy is simulated and verified on MATLAB/Simulink.The simulation results show that the control performance of the vector controller optimized by the intelligent algorithm is better than that of the basic vector controller.After it is used in the motor speed control system,the overshoot,response time,anti-interference performance and electromagnetic torque of the motor The fluctuation suppression and d-axis current stability have been greatly improved.The effectiveness of the improved strategy proposed in this paper has been proved.