会议论文详细信息
2018 5th International Conference on Advanced Composite Materials and Manufacturing Engineering
Single Sampling Multi Controlling- Model Predicted Control for Single Inverters
Li, Po^1,2 ; Tang, Xiao^2 ; Fu, Lei^2 ; Fan, Yibiao^3
Shenzhen Research Institute of Xiamen University, Shenzhen, China^1
Department of Instrumental Electrical Engineering, School of Aerospace Engineering, Xiamen University, Xiamen, China^2
College of Mechanical and Electrical Engineering, Longyan University, Longyan, China^3
关键词: Computational burden;    Control frequency;    Hardware cost;    Sampling frequencies;    Single inverters;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/394/4/042048/pdf
DOI  :  10.1088/1757-899X/394/4/042048
来源: IOP
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【 摘 要 】

In this paper, a single sampling multi controlling-model predicted control (SSMC-MPC) scheme is proposed to decrease a considerable part of the computational burden and reduce the dependence on the sampling module. The SSMC-MPC achieves a ratio of control frequency to sampling frequency of N (N∈Z). The same control frequency requires only a lower sampling frequency module, which saves hardware costs and has advantages in practical application. By comparing the control effect of traditional FCS-MPC algorithm and SSMC-MPC algorithm, the proposed method and benefits were validated by simulations in MATLAB/Simulink.

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