Research On Multi-motor Synchronous Control Strategy Based On Fuzzy PI Adaptive Velocity Compensator

With the continuous development of industrial technology,the high-precision speed regulation of a motor can no longer meet the needs of modern industrial production development.Therefore,there has been more demand for synchronous control of physical quantities such as speed and angular displacement of multiple motors.Firstly,the common structure of multi-motor synchronous control system based on vector control and space vector pulse width modulation is analyzed and simulated.The deviation coupling control structure with higher precision is selected.The disadvantages of the structure are analyzed and improved,and the inertia based on the moment of inertia is proposed.The speed of rms compensation standards;at the same time analyzes the shortcomings of the existing multi-motor speed proportional synchronous control structure,and proposes a "unity to make difference,proportional compensation" method,the original speed proportional synchronous compensator is improved.Secondly,the fuzzy speed compensator and PI speed compensator are analyzed.Combining the advantages of both fuzzy and PI control algorithms,a fuzzy PI adaptive speed compensator is designed to improve the synchronization precision among multiple motors.In order to improve the synchronization accuracy between the motors,in order to improve the tracking performance,a deadbeat current controller was designed.At the same time,in order to reduce the application cost of the multi-motor synchronous control system,the speed sensorless technology is applied and a continuous sigmoid function is designed for the chattering problem of the sliding mode observer itself,which effectively reduces the inherent buffeting.Combining SMO with DPC algorithm,it is applied to multi-motor system based on fuzzy PI adaptive speed compensator to further improve the synchronization error between motors.Finally,based on the experimental platform of PMSM speed control system,the vector control algorithm is verified by experiments,which lays a foundation for the application of advanced algorithms.