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首页> 外文期刊>IEEE transactions on industrial informatics >Passivity ANFIS-Based Control for an Intelligent Compact Multilevel Converter
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Passivity ANFIS-Based Control for an Intelligent Compact Multilevel Converter

机译：基于智能紧凑型多电平转换器的基于控制的基于ANFIS控制

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摘要

This article proposes a passivity method synthesized by an adaptive neuro fuzzy inference system (ANFIS) to control a grid-tied nine-level packed E-cell (PEC9) inverter. PEC9 is an optimized components count of single-phase, single-dc-source, compact multilevel converter with an appealing feature of dc capacitors horizontal extension. Indeed, PEC9 forms a single auxiliary dc-bus to actively balance its voltages so as grid-tied controller would not be charge of capacitors voltages balancing. Hence, the proposed intelligent-based passivity control (IPC) is designed using only the dynamical model of the PEC9 inverter current. The zero dynamics of state variable errors are obtained and a damping coefficient matrix is presented to theoretically analyze the convergence rate of PEC9 inverter currents under the proposed control functions. In addition, various operating margins of damping coefficients are inquired. So, using the margins, a trained ANFIS as an online estimator tracks the damping injections. It precisely regulates the damping coefficients in unstable conditions; thus, the excellent PEC9 inverter operation is guaranteed. Experiments and simulations validate high reliable performance of the proposed IPC technique under various grid-tied operational conditions.
机译：本文提出了一种通过自适应神经模糊推理系统（ANFIS）合成的被动方法，以控制网格绑在九个级包装的E-CELL（PEC9）逆变器。 PEC9是单相，单级DC源，紧凑型多电平转换器的优化组件计数，具有DC电容水平扩展的吸引力。实际上，PEC9形成单个辅助直流总线，以主动平衡其电压，以便电容器电压平衡的电容器电压不充电。因此，所提出的基于智能的相机控制（IPC）仅使用PEC9逆变器电流的动态模型设计。获得状态可变误差的零动态，并提出了阻尼系数矩阵，理论上是在所提出的控制功能下分析PEC9逆变电流的收敛速率。此外，查询抑制系数的各种操作边缘。因此，使用边距，培训的ANFIS作为在线估算器跟踪阻尼注射。它精确地调节阻尼系数在不稳定条件下;因此，保证了优异的PEC9逆变器操作。实验和仿真在各种网格绑定条件下验证了提出的IPC技术的高可靠性。

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