Model Reference Adaptive Control Based Estimation of Equivalent Resistance and Reactance in Grid-Connected Inverters
Abstract
The model of a grid-connected inverter used for the corresponding controller design depends on the equivalent resistance and inductance between the inverter and the grid. These parameters are not fixed and change with operating conditions, temperature, and age. This paper analyses the effectiveness of the application of the model reference adaptive control (MRAC) approach in obtaining an accurate model of a grid-connected inverter system. Active and reactive power based MRAC approaches are used to estimate the equivalent resistance and reactance between the inverter and the grid. Detailed stability analysis of the MRAC approach is presented. The system models for the MRAC controller design are derived and guidelines on the controller parameters selection are proposed. Experimental results validate the feasibility of the proposed scheme.
Recommended Citation
S. Mukherjee et al., "Model Reference Adaptive Control Based Estimation of Equivalent Resistance and Reactance in Grid-Connected Inverters," IEEE Transactions on Energy Conversion, vol. 32, no. 4, pp. 1407 - 1417, Institute of Electrical and Electronics Engineers (IEEE), Dec 2017.
The definitive version is available at https://doi.org/10.1109/TEC.2017.2710200
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Intelligent Systems Center
Keywords and Phrases
Resistance; Grid Connected Inverters; Operating Condition; Small Signal Model; Model Reference Adaptive Control; Grid Connected Inverter; Estimation; Adaptation Models; Reactive Power; Active Filters; Inductors; Control System Synthesis; Invertors; Machine Control; Systems; Stability; Adaptive Control; Control Design; Parameter Estimation; Small-Signal Model
International Standard Serial Number (ISSN)
0885-8969; 1558-0059
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Dec 2017