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A Study On Improved Predictive Functional Control And Its Application In PMSM Servo System

Posted on:2017-04-26Degree:MasterType:Thesis
Country:ChinaCandidate:W J ZhuFull Text:PDF
GTID:2492305024479014Subject:Power electronics and electric drive
Abstract/Summary:PDF Full Text Request
In recent years,with attach importance to the high-end equipment innovation projects,as well as the rapid development of industrial robots AC servo system and a huge domestic market demand for intelligent manufacturing,high-performance servo control system has become a trend.To study the servo drive control system and control strategy has a theoretical and practical significance.This thesis combines the high performance servo motor design and application for industrial robots of China863 project,and carries on study the related issues of the dynamic response,disturbance rejection and model mismatch,for the permanent magnet synchronous motor(PMSM)servo system.The main research work and innovation of this dissertation include as follows:1.PFC-PI cascade control for the PMSM servo systemTo improve the control performance of the PMSM servo system,and based on the research and analysis of predictive functional control(PFC)algorithms.PFC-PI cascade scheme for PMSM servo system has been conceived,to replace the standard PI speed controller with PFC speed regulator,and established a PMSM control system simulation model in Matlab/Simulink environment,compared with the traditional PI regulator,the PFC has a simple adjustment simple,fast response speed,the parameters of the model mismatch robustness and so on.2.Improved PFC method for the PMSM servo systemIn common design of prediction model based control method,usually disturbances are not considered in the prediction model as well as the control design,and it is difficult for the prediction model to precisely predict the future outputs.It is noted that the PFC strategy could not acquire a satisfying effect when the system meet a strong disturbances.To this end,an improved PFC method with a minimum order observer(MOO),load disturbance torque state estimator,called the PFC+MOO method,is developed.In order to improve their ability of PFC,constructed a minimum order load disturbance torque observer status by observing the disturbance torque information as compensation,considering the influences of disturbance is reconstructed the PFC controller,thereby obtain the optimal quantity.Simulation results show improved PFC regulator is valid for disturbance rejection.3.Test platform structures and experimental verificationTo verify the feasibility of presented method in industrial applications,PMSM experimental set up has been finished in the servo control system based on infineon XMC4500 chips servo drive kit,on the platform of the proposed control strategy has carried on the contrast experiment and analysis.Experimental results show the correctness and effectiveness of the proposed scheme.
Keywords/Search Tags:permanent magnet synchronous motor, AC servo systems, predictive functional control, disturbance state observer
PDF Full Text Request
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