Controller Tuning Approach with robustness, stability and dynamic criteria for the original AVR System

M.J. Blondin, P. Sicard and P.M. Pardalos

Mathematics and Computers in Simulation (MATCOM), 2019, vol. 163, issue C, 168-182

Abstract: The automatic voltage regulator (AVR) system has received much interest in the last decade. Efforts are made to find a parameter set for proportional–integral–derivative based (PID) controllers to obtain a fast onset time with minimal overshoot. To assure system stability and robustness, these characteristics must be considered during the optimization process. Cost functions have been already proposed in the literature. However, either they have a high number of weighting parameters to set to achieve a satisfactory trade-off between dynamic performance, robustness and stability or they consider only robustness and stability. This paper proposes a new optimization framework using a simple performance criterion to achieve rapid time response characteristics as well as to meet robustness and stability requirements. The performance of the approach is confirmed by comparing its results to those obtained with two previously published performance criteria and the results obtained with the systune command in Matlab® and the MathWorks® PID tuning algorithm. The results obtained with the proposed approach present a better trade-off between dynamic performance, robustness and stability.

Keywords: Automatic voltage regulator; PID controller; Optimization; Robustness (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475419300771
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:163:y:2019:i:c:p:168-182

DOI: 10.1016/j.matcom.2019.02.019

Access Statistics for this article

Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens

More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().