Data-driven-based Control Performance Degradation Online Recovery for Voltage Source Inverter: A PnP strategy
- Resource Type
- Conference
- Authors
- Zhang, Shufeng; Liu, Changan; Shi, Yuntao; Yin, Xiang
- Source
- IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society Industrial Electronics Society, IECON 2022 – 48th Annual Conference of the IEEE. :1-6 Oct, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Industrial electronics
State feedback
Uncertainty
Voltage source inverters
Simulation
Power distribution
Power system stability
inductor-capacitor (LC) filter
primary control strategy (FFR)
voltage source inverter (VSI)
- Language
- ISSN
- 2577-1647
This paper presents a primary control strategy that can recover control performance online for the voltage source inverter (VSI) with inductor-capacitor (LC) filter. The control strategy contains a droop-based feedforward controller, an LQR-based state feedback controller and a data-driven residual compensation controller (FFR). An event-triggered mechanism based on stability margin is used to implement the plug-and-play (PnP) function of the residual compensation controller. Simulations show that FFR can realize uncertainty control and disturbance suppression and improve the dynamic performance, robustness and power distribution ability of the VSI system.