Chaos Control And Synchronization Of Complex Motor System And Network

With the promotion of green energy and the discovery of permanent magnet materials,the Permanent Magnet Synchronous Motor(PMSM)has received a lot of attention from various industries as an energy conversion device.Permanent magnet synchronous motors are not only simple and easy to operate with high interference immunity,but also have high power density and fast dynamic response.However,PMSM is a nonlinear system with both multivariable and strong coupling,and has rich nonlinear dynamical behaviors.It is the existence of these nonlinear behaviors that makes the PMSM system prone to chaotic oscillations and other phenomena during actual operation,thus affecting the safety and stability of the PMSM drive system.On the other hand,modern industry requires coordinated and synchronized operation of multiple motors.On the other hand,modern industry requires multiple motors to coordinate synchronized operation.Multiple motor systems interconnected into a motor network,although improving productivity,can also greatly increase the complexity of the system,and the instability may still exist or even be infinitely magnified.Therefore,it becomes an urgent problem to study the chaotic control and chaotic synchronization of both single-motor systems and motor networks.Therefore,it becomes an urgent problem to study the chaotic control and chaotic synchronization of both single-motor systems and motor networks.In this paper,a single PMSM system model and a multi-node PMSM network model are constructed to study the chaotic control first and then the chaotic synchronization of multi-nodes.The specific research contents of the paper are as follows:(1)A typical three-dimensional autonomous system model of PMSM is introduced to analyze its chaotic characteristics at different system parameters,and a feedback tracking control method based on a single state variable is proposed for the chaotic oscillations of the PMSM system.In this control method,only one state variable of the PMSM system is required to form a closed-loop feedback.This control method can make the system track to any desired reference target set in advance,thus making the PMSM system operate in a steady state.The effectiveness of this controller is demonstrated through extensive theoretical and simulation experiments.(2)Firstly,the basic concept of complex networks is introduced,and the discriminative method of synchronous stability is derived by studying the basic theory of complex networks,and the theory is used as a practical basis.Based on the traditional diffusion coupling method,the vibration characteristics of the system in the PMSM network are studied by applying a one-way coupling connection to the disturbed nodes.It is analyzed and demonstrated that the unidirectional coupling plays an important role in the global stabilization and synchronization of complex motor networks.(3)Taking a PMSM system as an example,a complex network of PMSM with NW small world is constructed at first.Since the PMSM is easily affected by the operating environment or certain system parameters during the actual operation,thus the behavior such as chaotic oscillation occurs.Therefore,the chaotic synchronization problem of the PMSM network should be considered.Based on Lyapunov stability criterion theorem,the coupling function between the two network nodes is used to make the whole PMSM network reach the synchronous operation state.Through theory and simulation experiments,the control effect of coupling function on complex chaotic system is verified.