# ANN-MPC
**ANN-MPC** is a public repository of codes and datasets of a new control scheme for a two-level converter based on combining Model Predictive Control (MPC) with feed-forward Artificial Neural Network (ANN), with the aim of getting lower THD and improving the steady and dynamic performance of the system for different types of loads.
The proposed ANN-based control strategy undergoes two main steps:
1. The use of MPC, as an expert or a teacher, for generating the data required for training off-line the proposed neural network using standard supervised learning, under full-state observation of the system. Here is the MPC model used for generating the training data [MPC-3-Phase-Inverters](https://github.com/IhabMohamed/MPC-3-Phase-Inverters).
2. Once the off-line training is performed, the trained ANN can successfully control the output voltage of the inverter, without the need of using MPC at test time, as illustrated in the following figure.
![ANN-MPCDiagram](ANN-MPC/Dataset/TrainingDiagram.png)
#### Citing
If you use the ANN-MPC or dataset in an academic context, please cite the following publication:
Paper: [A Neural-Network-Based Model Predictive Control
of Three-Phase Inverter With an Output LC Filter](https://ieeexplore.ieee.org/abstract/document/8819887)
```
@article{mohamed2019neural,
title={A Neural-Network-Based Model Predictive Control of Three-Phase Inverter With an Output LC Filter},
author={Mohamed, Ihab S and Rovetta, Stefano and Do, Ton Duc and Dragicevic, Tomislav and Diab, Ahmed A Zaki },
journal={IEEE Access},
year={2019}
}
```
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详细阐述了将前馈神经网络与模型预测控制(MPC)相结合应用于具有输出LC滤波器的三相逆变器的技术。内容涉及前馈神经网络的结构、训练方法以及如何将其与MPC集成以提高逆变器的控制性能。通过实验验证,证明了该方法在改善输出波形质量和系统响应速度方面的有效性。适合电力电子工程师、控制理论研究者和相关专业学生。使用场景包括电力变换器设计、新能源系统和智能电网技术。目标是推动三相逆变器控制技术的创新,提升电能转换效率和质量。 关键词标签: 三相逆变器 前馈神经网络 模型预测控制 MPC 电力电子 文档+程序具有输出LC滤波器的三相逆变器的前馈神经网络模型预测控制 A Feed-Forward ANN based on MPC for a Three-Phase Inverter With an Output LC Filter
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文档+程序具有输出LC滤波器的三相逆变器的前馈神经网络模型预测控制 (358个子文件)
prepareData_forANN.m 2KB
ANN_training.m 1KB
Sample10.mat 462KB
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