Hardware Co-Simulation of Voltage Sensorless Current Control based on Internal Model Principle
Abstract
Designing intelligent control structures sensitive to any possible failure of measuring sensors is an engineering challenge to increase the reliability of the power generation systems and keep the converters in their operation range. This paper presents a new control method based on internal model principle (IMC), in sensorless scheme, to improve the dynamic response of the voltage source converters in a vulnerable condition caused by the absence or failure of voltage sensing tools. The simple yet efficient method used in this methodology is quite straightforward in comparison to more intricate control architectures and prompts more fault tolerance and robustness to the system. The proposed control structure has been implemented in hardware-in-the-loop (HiL) framework and the real-time co-simulation has been utilized to validate the functionality of the architecture.
Recommended Citation
S. Yazdani and M. Ferdowsi, "Hardware Co-Simulation of Voltage Sensorless Current Control based on Internal Model Principle," Proceedings of the 2018 IEEE Energy Conversion Congress and Exposition (2018, Portland, OR), pp. 1488 - 1491, Institute of Electrical and Electronics Engineers (IEEE), Sep 2018.
The definitive version is available at https://doi.org/10.1109/ECCE.2018.8557540
Meeting Name
2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018 (2018: Sep. 23-27, Portland, OR)
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Energy conversion; Fault tolerance; Field programmable gate arrays (FPGA); Hardware-in-the-loop simulation; Model predictive control; Outages; Synthetic apertures; Engineering challenges; Grid-tie inverters; Hardware Co simulations; Hardware in the loops (HiL); Internal Model Control (IMC); Internal model principle; Power generation systems; Voltage source converters; Sensorless control; FPGA; Grid-tie inverter
International Standard Book Number (ISBN)
978-1-4799-7312-5
International Standard Serial Number (ISSN)
2329-3721; 2329-3748
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Sep 2018