{"title":"Robust Stability Design for Inverters Using Phase Lag in Proportional-Resonant Controllers","authors":"Zhiyong Chen;Bin Li;Boyi Wang","doi":"10.1109/TIE.2024.3436639","DOIUrl":null,"url":null,"abstract":"Engineers often reduce proportional-resonant (PR) controllers to simpler proportional controllers, neglecting the phase lag at midfrequencies. This reduction can lead to the incorrect assumption that a single-loop-control inverter with grid-side current feedback destabilizes when the inductor-capacitor-inductor (LCL) resonant frequency (ω<sub>r</sub>) is below the critical frequency (ω<sub>crit</sub>), i.e., when ω<sub>r</sub> ≤ ω<sub>crit</sub>. In contrast, we found that the PR controllers can provide adequate phase lag at midfrequencies. Adjusting the controller parameters to increase this phase lag can stabilize the inverter under ω<sub>r</sub> ≤ ω<sub>crit</sub> conditions without additional damping. Our research offers a robust stability design process that involves tuning PR controller parameters and optional phase margin (PM) compensation to ensure inverter stability and maintain good dynamic performance despite fluctuations in grid impedance. Initially, we establish a mathematical relationship between the controller parameters and the phase crossover frequency. This relationship is then used to set the phase crossover frequency to match the antiresonant frequency created by the inverter-side filter inductor and capacitor. Subsequently, we introduce an optional PM compensator to speed up the convergence of tracking error and reduce high-frequency oscillations. Finally, a case study highlights the control system’s robustness, transient performance, and flexibility of the design approach.","PeriodicalId":13402,"journal":{"name":"IEEE Transactions on Industrial Electronics","volume":"72 3","pages":"2655-2668"},"PeriodicalIF":7.2000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industrial Electronics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10638814/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Engineers often reduce proportional-resonant (PR) controllers to simpler proportional controllers, neglecting the phase lag at midfrequencies. This reduction can lead to the incorrect assumption that a single-loop-control inverter with grid-side current feedback destabilizes when the inductor-capacitor-inductor (LCL) resonant frequency (ωr) is below the critical frequency (ωcrit), i.e., when ωr ≤ ωcrit. In contrast, we found that the PR controllers can provide adequate phase lag at midfrequencies. Adjusting the controller parameters to increase this phase lag can stabilize the inverter under ωr ≤ ωcrit conditions without additional damping. Our research offers a robust stability design process that involves tuning PR controller parameters and optional phase margin (PM) compensation to ensure inverter stability and maintain good dynamic performance despite fluctuations in grid impedance. Initially, we establish a mathematical relationship between the controller parameters and the phase crossover frequency. This relationship is then used to set the phase crossover frequency to match the antiresonant frequency created by the inverter-side filter inductor and capacitor. Subsequently, we introduce an optional PM compensator to speed up the convergence of tracking error and reduce high-frequency oscillations. Finally, a case study highlights the control system’s robustness, transient performance, and flexibility of the design approach.
期刊介绍:
Journal Name: IEEE Transactions on Industrial Electronics
Publication Frequency: Monthly
Scope:
The scope of IEEE Transactions on Industrial Electronics encompasses the following areas:
Applications of electronics, controls, and communications in industrial and manufacturing systems and processes.
Power electronics and drive control techniques.
System control and signal processing.
Fault detection and diagnosis.
Power systems.
Instrumentation, measurement, and testing.
Modeling and simulation.
Motion control.
Robotics.
Sensors and actuators.
Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems.
Factory automation.
Communication and computer networks.