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Protocol-based control for wind turbine generator with semi-Markov

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This paper focuses on the control design problem for wind turbine generator systems (WTGSs) using a proportional-integral observer. A semi-Markov jump process is used to describe the operation points of WTGSs between different subareas considering variable wind speed. An adaptive-memory event-triggered protocol (AMETP) is constructed for efficient transmission frequency modulation, resulting in improved dynamic performance. Sufficient criteria for the stochastic stability of the closed-loop systems are formulated based on parameter-dependent Lyapunov stability theory. The feasibility of the approach is demonstrated through a numerical example.
This paper is concerned with the protocol-based control design problem for wind turbine generator systems (WTGSs) via a proportional-integral observer. Considering the variable actual wind speed, the operation points of WTGSs between different subareas are described by a semi-Markov jump process. To efficiently modulate transmission frequency, an adaptive-memory event-triggered protocol (AMETP) is constructed using a sequence of previously broadcasted packets and adaptive triggering thresholds, resulting in better dynamic performance. Benefitting from the parameter-dependent Lyapunov stable theory, some sufficient criteria are formulated for the stochastic stability of the closed-loop systems. At last, the feasibility of the presented approach is tested via a numerical example. (c) 2023 The Franklin Institute. Published by Elsevier Inc. All rights reserved.

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