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.

中文翻译：

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基于无源ANFIS的智能紧凑型多电平转换器控制

本文提出了一种由自适应神经模糊推理系统（ANFIS）合成的无源方法，用于控制并网的9级封装E单元（PEC9）逆变器。PEC9是单相，单直流源，紧凑型多电平转换器的优化组件，具有直流电容器水平扩展的吸引人的功能。实际上，PEC9形成了一条辅助直流母线以主动平衡其电压，因此并网控制器不会对电容器的电压进行平衡充电。因此，仅使用PEC9逆变器电流的动力学模型来设计提出的基于智能的无源控制（IPC）。获得了状态变量误差的零动力学特性，并提出了一个阻尼系数矩阵，从理论上分析了所提出的控制功能下PEC9逆变器电流的收敛速度。此外，询问阻尼系数的各种工作裕度。因此，使用余量，经过训练的ANFIS作为在线估计器，可以跟踪阻尼注入。它可以在不稳定条件下精确调节阻尼系数。因此，可以确保出色的PEC9逆变器操作。实验和仿真验证了所提出的IPC技术在各种并网运行条件下的高可靠性性能。