Research On Vector Control System Of Synchronous Reluctance Motor Based On Brain Emotion Controller

Synchronous reluctance motor(SynRM)has become a hot topic in motor research due to its low cost,high reliability,high efficiency,small moment of inertia,and safe operation.Although synchronous reluctance motors have many advantages,due to the characteristics of their body structure,this makes traditional universal controllers unable to quickly follow system changes,which also results in SynRM’s dynamic and poor static response effects,making it difficult to achieve precise control of the motor.In order to change this kind of problem in SynRM control,the controller needs to be able to adapt to changes in system parameters.As a new type of controller based on the calculation model of emotional limbic system,the intelligent controller of brain emotion can be based on the emotional learning mechanism of the brain and combined with it.Therefore,this paper proposes a intelligent controller for brain emotion learning based on the calculation model of emotional edge system(BELBIC)In order to realize the method of self-adjusting to the parameter change of the synchronous reluctance motor control system.This article first introduces the basic principles of SynRM,combines the structural characteristics of SynRM,analyzes the effects of magnetic saturation effects on motor control,and then obtains a mathematical model of SynRM under magnetic saturation conditions;then analyzes the calculation model of the limbic system to design brain emotional learning Controller body simulation model.In fact,based on the design of brain emotion control theory,the appropriate sensory input function and emotional reward and punishment function are selected,and the parameters of the brain emotion controller are adjusted,and the relevant parameters of the sensory input function and emotion reward and punishment function are adjusted to adjust the brain emotion intelligent controller.The simulation model completes the construction of the vector control system model of the synchronous reluctance motor based on the brain emotion intelligent controller.Finally,MATLAB software was used to simulate the experimental system to analyze the control effect of BELBIC under different working conditions such as changing parameters and changing load after considering the magnetic saturation phenomenon in SynRM,and comparing it with the maximum torque of SynRM based on traditional PI controller.The current ratio control system is compared,and the intelligent controller for generating brain emotion has the advantages of self-regulation ability and strong robustness in the control of non-linear systems.