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Robust Predictive Current Control Of Induction Motor With Minimum Loss Considering Iron Loss

Posted on:2022-06-23Degree:MasterType:Thesis
Country:ChinaCandidate:W HuangFull Text:PDF
GTID:2492306512972109Subject:Electrical engineering
Abstract/Summary:
With the induction motor is widely used in all kinds of electric vehicles,high efficiency and low consumption has become an important consideration standard of electric vehicles.However,the efficiency of induction motor itself is low,and there is a huge space for energy saving.For the problem of how to improve the efficiency of induction motor under light load,scholars at home and abroad have done research for many years and have a mature theory.However,the improvement of motor efficiency will inevitably lead to flux weakening,which will make the dynamic performance of the motor worse.For electric vehicles,a good system dynamic response can ensure the rapid speed control effect,which is particularly important.In the high performance vector control system,as a predictive current control with fast system response speed,it is a research hotspot in recent years.Therefore,this paper studies the problem that the traditional deadbeat predictive current control will affect the dynamic response of the motor after adding the energy-saving algorithm.The current predictive control of induction motor takes the traditional current state equation of induction motor as the predictive equation,which ignores the influence of iron loss on the system.However,the existence of iron loss will reduce the dynamic response speed of the control system,and also affect the decoupling effect of flux and torque.Therefore,this paper designs a minimum loss robust predictive current control system of induction motor considering iron loss,which can ensure the dynamic performance of the control system without affecting the operation efficiency of the motor.In the steady-state operation of induction motor,the loss model method is used to improve the efficiency.The predictive current control based on iron loss model realizes decoupling compensation considering iron loss,and improves the problem of system dynamic performance degradation caused by weak magnetic field to a certain extent.At the same time,considering the parameter robustness of deadbeat predictive current control,a Luenberger observer is used to compensate the system disturbance,so as to achieve the control effect of no current static error and realize the motor drive system with high efficiency and high performance.In the simulation environment and experimental platform,the minimum loss robust predictive current control system of induction motor considering iron loss is verified.The results show that the scheme has faster dynamic response speed when the load and speed change,and improves the robustness of motor parameters.
Keywords/Search Tags:induction motor, minimum loss, iron loss, predictive current control, parameter robustness
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