发表机构
Johannes Kepler University Linz（林茨约翰内斯·开普勒大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出一种自适应平均电流模式控制器，用于Buck变换器供给等离子体电弧负载，通过电流误差反馈与电压前馈补偿及在线参数自适应，实现快速电流控制，实验验证了其有效性。
AI 中文摘要
等离子体过程的可靠运行需要一种电源，能够在电气负载快速变化时调节并限制电弧电流。气流波动、电弧运动、附着条件变化以及电极相互作用可能导致电弧电压的突变，并可能引发电弧中断。因此，电源必须提供快速的电流控制和合适的执行层以支持监督稳定。本文提出了一种自适应平均电流模式控制器，用于供给非线性等离子体电弧负载的Buck变换器。基于变换器电感器动力学的平均模型，该控制器将电流误差反馈与所测电弧电压的前馈补偿相结合。电感和其等效串联电阻的在线自适应补偿了变换器参数的不确定性，无需在线非线性电弧模型。Lyapunov分析在有限参考假设下，为平均闭环系统建立了有界估计误差和渐近电流跟踪。使用氩等离子体电弧的实验展示了接触断开点火和在变化的电弧电压条件下的电流参考跟踪，支持该控制器作为等离子体应用中快速电流控制层的可行性。
英文摘要
Reliable operation of plasma processes requires a power supply that can regulate and limit the arc current despite rapid changes of the electrical load. Gas-flow fluctuations, arc motion, changing attachment conditions, and electrode interactions can cause abrupt arc-voltage variations and may lead to arc interruption. The power supply must therefore provide fast current control and a suitable actuation layer for supervisory stabilization. This paper presents an adaptive average current-mode controller for a buck converter supplying a nonlinear plasma arc load. Based on an averaged model of the converter inductor dynamics, the controller combines current-error feedback with feedforward compensation of the measured arc voltage. Online adaptation of the inductance and its effective series resistance compensates for converter-parameter uncertainty without requiring an online nonlinear arc model. A Lyapunov analysis establishes bounded estimation errors and asymptotic current tracking for the averaged closed-loop system under bounded-reference assumptions. Experiments with an argon plasma arc demonstrate contact-opening ignition and current-reference tracking under varying arc- voltage conditions, supporting the controller as a fast current-control layer for plasma applications.
