Multi-motor Synchronization Control Optimization Based On Fuzzy Adaptive Strategy

In the current prosperous period of scientific development,the requirements for the quality and output of various products continue to increase.Multi-motor synchronous control and coordination technology has been widely used in various industrial occasions.In the packaging machinery industry,multi-motor synchronous control and coordination technology has played a decisive role in the quality of products.The envelope machine is an automated machine composed of multiple partial modules.Each functional module has a drive roller driven by a servo motor.The various partial modules operate synchronously to complete the overall work of the envelope machine.This paper aims to optimize the synchronous control of the envelope machine According to the speed control system of a single permanent magnet synchronous motor,a PMSM fuzzy PID control strategy optimized by catastrophic genetics is proposed to improve the response speed and accuracy of the single motor.In order to further improve the performance of multi-motor synchronous control,taking the synchronous control system of four permanent magnet synchronous motors as the object,an improved deviation coupling speed compensation structure is proposed,which mainly includes the following aspects:First,analyze the working status of the envelope machine,analyze the internal structure of the permanent magnet synchronous motor and transform it into a mathematical model,design the control method according to the mathematical model,select the space vector pulse width modulation technology to achieve the purpose of motor speed control,and integrate the above methods and strategies to build a permanent Simuink simulation model of the magnetic synchronous motor control system.Analyze common motor control strategies,replace the original PID control strategy with catastrophic genetic fuzzy PID control method,and use catastrophic genetic algorithm to optimize the fuzzy rules of the fuzzy controller in response to the shortcomings of the original fuzzy control method,and face the nonlinearity of the original genetic algorithm,Complicated problems have the disadvantages of falling into local optimal solutions and "premature",and catastrophic operations are added.And the feasibility and effectiveness of the control method are proved through simulation.According to the structural analysis of the existing multi-motor synchronous control method,a new type of speed compensator is proposed.Simulink software is used to simulate and compare various synchronous control strategies to verify the feasibility and optimized performance of the improved deviation coupling speed compensator.Finally,the permanent magnet synchronous motor based on catastrophic genetic fuzzy PID is built according to the improved deviation coupling synchronization control connection method to build a four-motor parallel simulation model.The simulation results show that the synchronization error between each motor is reduced,and the speed synchronization is faster.Synchronous control performance of envelope machine.