Adaptive ANN based Single PI Controller for Nine-Level PUC Inverter
Adaptive ANN based Single PI Controller for Nine-Level PUC Inverter
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用于九电平 PUC 逆变器的基于自适应 ANN 的单 PI 控制器
DOI：
10.1109/epec47565.2019.9074823
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
K. Al
中科院分区：
文献类型：
--
作者：
M. Babaie;M. Sharifzadeh;K. Al
本文提出了一种自适应比例积分（API）控制策略，用于调节9电平封装U-Cell （PUC9）逆变器单机运行时的电容电压和负载电流。PI是一种线性控制方法，由于实现简单，在功率变换器拓扑中得到了广泛的应用。然而，将PI方法应用于作为非线性系统的电源变换器，存在稳态误差、控制因子难以整定以及存在不确定性和干扰时的不稳定性等问题。在提出的API方法中，使用单个PI控制器来调节电容器电压和负载电流幅值。采用人工蜂群（ABC）算法训练多层感知器（MLP）人工神经网络（ANN），自适应电容器电压基准，消除PI的稳态误差，在参数变化的情况下稳定PUC9电压和电流。MATLAB/Simulink仿真结果证实了该API的高性能。
This paper presents an Adaptive Proportional Integral (API) control strategy to regulate the capacitors voltage and load current of Nine-Level Packed U-Cell (PUC9) inverter in stand-alone mode of operation. PI is a linear control method which has been widely used in power converter topologies due to simple implementation. However, applying PI method to the power converters as nonlinear systems causes several problems like steady state error, difficulties of control factors tuning and instability in presence of uncertainties and disturbances. In the proposed API method, a single PI controller is used to adjust both capacitors voltage and load current amplitudes. A Multilayer Perceptron (MLP) Artificial Neural Network (ANN) is also trained by Artificial Bee Colony (ABC) algorithm to adapt the capacitors voltage references so that eliminates steady state error of PI and stabilizes the PUC9 voltages and current in the presence of parameters variation. Simulation results obtained by MATLAB/Simulink confirm high performance of the API.