Zoning Deadbeat Model Predictive Control with Virtual Voltage Vectors for Current Control and Capacitors Voltage Balancing in the 3L-NPC
编号:86 访问权限:仅限参会人 更新:2025-05-06 15:08:48 浏览:7次 口头报告

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摘要
In this paper, two new methods for load current control and capacitors voltage balancing in the three-level neutral point diode clamped inverters (3L-NPC) is presented which can be generalized to other control variables such as speed in electrical motors. In the first method after calculating the required reference voltage vector, K coefficient (with feedback from upper capacitor voltage) and virtual voltage vectors were used to control the capacitors voltage. Using K coefficient and virtual voltage vector in each sampling time, causes the entire sector surface includes the reference voltage vector, consists of voltage vectors that will have a positive effect or ineffective. In the second method, the zonning deatbeat model predictive control is introduced, which is based on the elimination of the voltage-based cost function in the simplified finite-set model predictive control. In fact, the closest voltage vector to the reference voltage vector is selected directly and without any cost function, which reduces the complexity and the computation burden. Therefore, using these two methods, there is no need for any cost function, modulators, weighting factor adjustment and capacitors voltage prediction. The validity of these two methods is confirmed by SIMULINK/MATLAB.
关键词
three-level inverters,switching,Finite control-set model predictive control (FCS-MPC)
报告人
Garcia Cristian
Prof. Associate Universidad de Talca

稿件作者
Saeed Lotfollahzadegan Shahid Rajaee Teacher Training University
Davari S. Alireza Shahid Rajaee Teacher Training University
Freddy Flores-Bahamonde UNAB
Garcia Cristian Universidad de Talca
Luca Tarisciotti UNAB
Fengxiang Wang Quanzhou Institute of Equipment Manufacturing; Chinese Academy of Sciences
Jose Rodriguez Universidad San Sebastian
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重要日期
  • 会议日期

    06月05日

    2025

    06月08日

    2025

  • 04月30日 2025

    初稿截稿日期

主办单位
IEEE PELS
IEEE
承办单位
Southeast University
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