Event-driven fuzzy L∞ control of DC microgrids under cyber attacks and quantization

This paper investigates the event-driven fuzzy <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi mathvariant="script">L</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>∞</mml:mi> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> control of direct-current (DC) microgrids subject to deception attacks, persistent bounded (PB) disturbances, premise mismatching, quantizer, and delays. First, using states of the fuzzy plant and a constant, a Zeno-free dynamic event-triggered mechanism (ETM) is presented, which is more robust to the PB disturbances than the static state-related ETMs (SSRETMs). Second, by virtually dividing the updating intervals of the controller, a unified time-delay fuzzy system model is established, which takes effects of dynamic ETM, deception attacks, disturbances, quantizer, and delays into account. Third, criteria for globally exponentially ultimately bounded (GEUB) stability in mean square with guaranteed <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi mathvariant="script">L</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>∞</mml:mi> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> -gain are obtained, and the quantitative relationship between the ultimate bound and the dynamic ETM is established. To overcome the inconvenience of the emulation method requiring two design steps, a co-design strategy is provided to simultaneously design the ETM and fuzzy controller subject to premise mismatching. Simulation results confirm that, even with the triggering rate 36.9% and the attacking rate 11.4%, satisfactory control performance can still be achieved; the dynamic ETM achieves better triggering performance than the SSRETMs; and the proposed controller achieves shorter settling time and smaller overshoot than the robust linear controller.

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Publication Details

Journal
Transactions of the Institute of Measurement and Control
Published
2024-08-09
DOI
https://doi.org/10.1177/01423312241265781
Citations
2
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.66

Funders

Controls
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article

Event-driven fuzzy L∞ control of DC microgrids under cyber attacks and quantization

Lisai Gao, Chen Peng, Kang Li, Fuqiang Li
2 citations
Transactions of the Institute of Measurement and Control
Smart Grid Security and Resilience
0.66
article

Event-driven fuzzy L∞ control of DC microgrids under cyber attacks and quantization

Lisai Gao, Chen Peng, Kang Li, Fuqiang Li
article en
2 citations

Abstract

This paper investigates the event-driven fuzzy <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi mathvariant="script">L</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>∞</mml:mi> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> control of direct-current (DC) microgrids subject to deception attacks, persistent bounded (PB) disturbances, premise mismatching, quantizer, and delays. First, using states of the fuzzy plant and a constant, a Zeno-free dynamic event-triggered mechanism (ETM) is presented, which is more robust to the PB disturbances than the static state-related ETMs (SSRETMs). Second, by virtually dividing the updating intervals of the controller, a unified time-delay fuzzy system model is established, which takes effects of dynamic ETM, deception attacks, disturbances, quantizer, and delays into account. Third, criteria for globally exponentially ultimately bounded (GEUB) stability in mean square with guaranteed <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi mathvariant="script">L</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>∞</mml:mi> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> -gain are obtained, and the quantitative relationship between the ultimate bound and the dynamic ETM is established. To overcome the inconvenience of the emulation method requiring two design steps, a co-design strategy is provided to simultaneously design the ETM and fuzzy controller subject to premise mismatching. Simulation results confirm that, even with the triggering rate 36.9% and the attacking rate 11.4%, satisfactory control performance can still be achieved; the dynamic ETM achieves better triggering performance than the SSRETMs; and the proposed controller achieves shorter settling time and smaller overshoot than the robust linear controller.

Transactions of the Institute of Measurement and ControlVol. 47(6)
Shanghai University (CN), University of Leeds (GB), Henan Agricultural University (CN)
National Natural Science Foundation of China
Peace, Justice and strong institutions
Openalex Percentile: Top 31%
Smart Grid Security and Resilience
0.66
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