학술논문

Model predictive current control for T-type NPC inverter using new on-line inductance estimation method
Document Type
Conference
Source
2016 IEEE Region 10 Conference (TENCON) Region 10 Conference (TENCON), 2016 IEEE. :316-321 Nov, 2016
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
General Topics for Engineers
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Inductance
Inverters
Capacitors
Estimation
Predictive models
Voltage control
Switches
Predictive current control
Inductance estimation
T-NPC inverter
Language
ISSN
2159-3450
Abstract
Predictive current control is the use of predictive model for controlling load current tracking reference value, which forecasts future current values based on the selection one of the 27 voltage vectors of T-type NPC inverter. The cost function will minimize tolerance between control and reference current and 2 capacitor voltage values. These distortions depend on system load parameter elements. However, they are not the constant in the real event, which vary with operational conditions causing the distortion in control. In this paper, the new inductance estimation method is applied to predict future inductance values on-line, future current values as well as voltage values of 2 capacitors in order to improve the current quality. The proposed method is introduced and compared with the conventional algorithm to express the advantage of new technique. Simulation results are obtained by PSIM software and experimental results verify the feasibility and effectiveness of the algorithm.