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<p>In this article, the design of an event-triggered dynamic output feedback controller (DOFC) for multichannel network packet dropouts and its application to a permanent magnet synchronous motor (PMSM) are studied. First, the networked control system model is established using an interval type-2 fuzzy method. To account for random packet dropouts introduced during data transmission over the network, the effects are considered in both the sensor to controller and controller to actuator channels. An improved adaptive event-triggered mechanism is developed to optimize the utilization of network resources. A proportional-integral-derivative adjustment strategy is introduced to enable dynamic tuning of the event-triggered threshold. To address the network-induced delay caused by event-triggered transmission, the free-weighting matrix method is used to handle the delay term. In the presence of external disturbances, a DOFC is designed to ensure the <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(H_{\infty }\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>H</mi> <mi>∞</mi> </msub> </math></EquationSource> </InlineEquation> control performance of the system. Furthermore, the stability of the system is analyzed, and the linear matrix inequality design conditions that guarantee system stability are derived. Finally, a PMSM model with chaotic and nonlinear characteristics is established to verify the effectiveness of the proposed event-triggered fuzzy DOFC design method with packet dropout.</p>

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Event-triggered fuzzy dynamic output feedback control with packet dropouts and its application to nonlinear PMSM

  • 期刊论文

  • 发表日期：

    2026年6月29日

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  • Li-Wei Hou,
  • Xiao-Heng Chang

摘要

In this article, the design of an event-triggered dynamic output feedback controller (DOFC) for multichannel network packet dropouts and its application to a permanent magnet synchronous motor (PMSM) are studied. First, the networked control system model is established using an interval type-2 fuzzy method. To account for random packet dropouts introduced during data transmission over the network, the effects are considered in both the sensor to controller and controller to actuator channels. An improved adaptive event-triggered mechanism is developed to optimize the utilization of network resources. A proportional-integral-derivative adjustment strategy is introduced to enable dynamic tuning of the event-triggered threshold. To address the network-induced delay caused by event-triggered transmission, the free-weighting matrix method is used to handle the delay term. In the presence of external disturbances, a DOFC is designed to ensure the \(H_{\infty }\) H ∞ control performance of the system. Furthermore, the stability of the system is analyzed, and the linear matrix inequality design conditions that guarantee system stability are derived. Finally, a PMSM model with chaotic and nonlinear characteristics is established to verify the effectiveness of the proposed event-triggered fuzzy DOFC design method with packet dropout.