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ZHANG Zicheng,CHEN Alian,XING Xiangyang.Improved Model Predictive Control Method Based on Grid-connected Inverter[J].JOURNAL OF POWER SUPPLY,2018,16(2):137-143
Improved Model Predictive Control Method Based on Grid-connected Inverter
Received:December 22, 2015  Revised:December 05, 2017
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DOI:10.13234/j.issn.2095-2805.2018.2.137
Keywords:three-phase grid-connected inverter  improved predictive control  current tracking accuracy  switch operation  effective time
Fund Project:The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)
        
AuthorInstitutionEmail
ZHANG Zicheng School of Control Science and Engineering, Shandong University, Jinan , China
CHEN Alian School of Control Science and Engineering, Shandong University, Jinan , China chenalian@sdu.edu.cn
XING Xiangyang School of Control Science and Engineering, Shandong University, Jinan , China
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Abstract:
      Three-phase grid-connected inverters have been popularized owing to their high efficiency, higher power and low cost. The model predictive control method, which has the merits of high robustness and fast dynamic response, has been widely applied to the control of grid-connected inverters. However, the traditional predictive control has the disadvantage of irregular switching operation, which will reduce the current tracking accuracy and generate output pulse as well as electromagnetic noises. To solve the above problems, an improved model predictive control method is proposed based on the selection of switching states and the effective time of vectors. The second factor is considered as a dimension in the control, which improves the current tracking accuracy and reduces the inverter's output current distortion and electromagnetic noises. The feasibility and effectiveness of the proposed method were verified by simulation and experimental results.
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