Research On Networked Permanent Magnet Synchronous Motor Control System

Permanent Magnet Synchronous Motor(PMSM)has high power density and high working efficiency,it is easy to control.Therefore,it is widely used in industrial production,new energy vehicles,and servo control systems.PMSM control has become a research hotspot for many scholars.At present,the PMSM control system is relatively mature,but in many occasions,the control system needs to have the ability to adapt to the interference that may exist outside the system,changes in the load and changes in the parameters of the motor itself.When the above changes occur in the actual operation of the motor,it will affect the control effect of the motor control system.In order to solve this problem in a targeted manner,a networked permanent magnet synchronous motor control system is proposed,which can not only improve the stability of the motor control system,but also increase its adaptive ability.Theoretical research is carried out on the networked permanent magnet synchronous motor control system.Vector control and the corresponding intelligent control algorithm on the server side are combined and applied to the control system to optimize the PMSM vector control effect.First,this paper analyzes the specific structural composition and special advantages of the networked permanent magnet synchronous motor control system,and introduces the classification of shared memory between dual cores and the steps to implement communication.The mathematical model of PMSM is established,and the working principle of SVPWM is analyzed.Based on the basic principle of vector control,a double closed-loop vector control simulation model of the motor is built,and its control effect is analyzed to verify the rationality and feasibility of the control algorithm.Secondly,analyze the TCP/IP protocol stack and related contents involved in implementing the Ethernet communication function of this system,highlighting the advantages and powerful big data processing capabilities of the motor control system under Ethernet communication.It introduces the related communication operations on the server side and the establishment of its database,the addition,deletion,modification,and query of data content.Through the storage of data,it can lay a certain foundation for the subsequent application of related intelligent control algorithms.Thirdly,the related control strategies that can be used in conjunction with the networked permanent magnet synchronous motor control system are introduced.The principle and main steps of the genetic algorithm are mainly explained.The genetic algorithm is realized by using the server-side big data storage capacity and efficient data operation capability.The better control parameters generated by the algorithm are returned to the speed PI controller of the motor control system.Use Simulink simulation to verify the resulting control effect.It can be seen from the simulation results that adjusting the PI control parameters of the speed with the help of genetic algorithm can make the motor return to a good control effect when the motor control effect becomes worse.It also laid the foundation for the subsequent completion of the entire experimental platform and the use of genetic algorithms for parameter tuning.Finally,this paper builds an experimental platform of networked permanent magnet synchronous motor control system,and combines the vector control strategy proposed in this paper with the corresponding genetic algorithm on the server side and conducts experimental verification.