一种改进无差拍预测控制器设计及应用研究

林茂; 李颖晖; 徐浩军; 路金泉

doi:10.12263/DZXB.20200876

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一种改进无差拍预测控制器设计及应用研究

学术论文 | 更新时间：2025-12-11

- 一种改进无差拍预测控制器设计及应用研究
- Design and Application of an Improved Dead Beat Predictive Control Strategy
- 电子学报 2022年50卷第3期页码：663-671
- 作者机构：
  
  1.空军工程大学航空工程学院等离子体重点实验室，陕西西安 710038
  2.293802部队，陕西咸阳 712200
- 作者简介：
  
  [ "林茂男，1988年生，博士后，研究方向为电力电子先进控制理论.E-mail:496180444@qq.com" ]
  [ "李颖晖女，1966年生，教授，博士生导师，研究方向为电力系统控制" ]
- 基金信息：
  
  国家自然科学基金(12075319)
- DOI：10.12263/DZXB.20200876
  中图分类号： TM315
- 收稿：2020-08-12，
  
  修回：2021-02-24，
  
  纸质出版：2022-03-25
- 稿件说明：
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林茂,李颖晖,徐浩军等.一种改进无差拍预测控制器设计及应用研究[J].电子学报,2022,50(03):663-671.

LIN Mao,LI Ying-hui,XU Hao-jun,et al.Design and Application of an Improved Dead Beat Predictive Control Strategy[J].ACTA ELECTRONICA SINICA,2022,50(03):663-671.
林茂,李颖晖,徐浩军等.一种改进无差拍预测控制器设计及应用研究[J].电子学报,2022,50(03):663-671. DOI： 10.12263/DZXB.20200876.

LIN Mao,LI Ying-hui,XU Hao-jun,et al.Design and Application of an Improved Dead Beat Predictive Control Strategy[J].ACTA ELECTRONICA SINICA,2022,50(03):663-671. DOI： 10.12263/DZXB.20200876.

摘要

传统的预测控制器在应用到多电平逆变器中存在由于计算量大导致实时性无法保证的问题；如果针对这类数字控制器存在的延迟问题，仅采用二步预测补偿控制策略解决，同样增加了算法的计算量，也对系统硬件提出了更高的要求.文章首先从算法计算流程上进行简化，设计了一种简化搜索策略的改进准预测控制方法，该策略通过提前建立的矢量表将目标参考值与控制矢量进行对比，得到下一时刻的控制量，其中预测模型一个周期内仅需计算一次，相对于传统的三电平预测控制策略每周期需将27种控制矢量带入到模型当中运算27次，减少了近50%计算量，节约了计算时间.其次，针对预测控制器解决多目标优化问题时存在权重因数选择具有一定随机性的问题，文章给出一种分支定界的权重因子选择策略，解决中点电位不平衡问题.最后仿真和实验验证了简化后控制策略的有效性和可行性.

Abstract

In view of the limitation of large amount of computation in the application of mode predictive control(MPC) to multilevel inverters

and considering the time delay problem of digital control strategy

the two-step predictive compensation control strategy is often adopted

which undoubtedly increases the computation amount of the algorithm and puts forward higher requirements for the system hardware. Firstly

this paper designed a simplified search strategy to improve predictive control method

through the looking-up table method to tracking reference value for the control of the next moment

only one prediction model cycle computing time is used

compared with traditional three level circuit predictive control method which each cycle should take 27 kinds control vector into the model of operation 27 times

the improved method greatly reducing the amount of calculation

save the calculation time. Secondly

aiming at the problem that the weight factor selection has a certain randomness when the predictive controller solves the multi-objective optimization problem

this paper presents a branch-and-bound weight factor selection strategy to solve the midpoint potential imbalance problem. Finally

simulation and experiment verify the effectiveness and feasibility of the simplified control strategy.

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references

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