Adaptive tracking of system oscillatory modes using an extended RLS algorithm

Moreno, I.; Messina, A.R.

doi:10.1016/j.epsr.2014.03.034

Cited by 8 publications

(2 citation statements)

References 13 publications

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“…To overcome these problems, a new discrete adaptive SMC is developed, which is based on combining the robustness of discrete SMC with the tracking capability of adaptive control. Adaptive control is quite known as an effective tool to deal with nonlinear systems subjected to unknown parameter variations (Moreno and Messina, 2014;Qingbo and Yuanming, 2007;Salhi and Kamoun, 2016;Selisteanu et al, 2007;Tao, 2003;Znidi et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Discrete indirect adaptive sliding mode control for uncertain Hammerstein nonlinear systems

Znidi

Dehri

Nouri

2022

Transactions of the Institute of Measurement and Control

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The robustness issue of uncertain nonlinear systems’ control has attracted the attention of numerous researchers. In this paper, we propose three techniques to deal with the uncertain Hammerstein nonlinear model. First, a discrete sliding mode control (SMC) is developed, which is based on converting the original nonlinear system into a linearized one in the vicinity of the operating region using Taylor series expansion. However, the presence of relatively high nonlinearities and parameter variations leads to the deterioration of the desired performances. In order to overcome these problems and to improve the performance of classical SMC, we propose two solutions. The first one is based on the synthesis of a discrete SMC, taking into account the presence of nonlinearity. The second solution is a new discrete adaptive SMC for input–output Hammerstein model. In order to show the effectiveness of the proposed controllers, a detailed robustness analysis is clearly developed. Simulation examples are reported at the end of the paper.

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Section: Introductionmentioning

confidence: 99%

Discrete indirect adaptive sliding mode control for uncertain Hammerstein nonlinear systems

Znidi

Dehri

Nouri

2022

Transactions of the Institute of Measurement and Control

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“…The Kalman filter has also been utilized for real‐time detection of the dominant oscillation modes . References and present algorithms associated with the Least Square method‐based applications; a linear predictive coding algorithm is presented in Reference . Finally, Fourier transform‐based solutions are proposed in References and .…”

Section: Introductionmentioning

confidence: 99%

Smart application for inter-area oscillations monitoring based on Newton-type algorithm

Cai

Regulski

Terzija

2016

Int. Trans. Electr. Energ. Syst.

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SUMMARYA new Wide-Area Monitoring System (WAMS) application for monitoring inter-area oscillations, based on the Newton-type algorithm is presented in this paper. The core of this novel WAMS application is a numerical algorithm for the real-time estimation of the dominant inter-area oscillation mode, which processes Global Positioning System synchronized information obtained from Phasor Measurement Units installed in the power system. The parameter model is a highly nonlinear function, making this a particularly difficult challenge. Two data sets were tested using the new algorithm, one based on simulated models and the other based on real-life data records. The computer simulated model was based on a known architecture with signals obtained using a dynamic simulation of a multi-machine power system. The real-life data records used information collected on the FlexNet Wide-Area Monitoring System (FlexNET-WAMS) installed in the Great Britain power grid.

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