<p>This study investigates an observer-based non-fragile event-triggered (ET) mechanism for Takagi–Sugeno (TS) fuzzy permanent magnet synchronous motor (PMSM) systems in the presence of random communication packet dropout. The primary objective is to develop a TS fuzzy observer-based ET non-fragile scheme that ensures the finite-time (FT) boundedness of the system while achieving a mixed <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(H_\infty \)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>H</mi> <mi>∞</mi> </msub> </math></EquationSource> </InlineEquation> and passivity performance requirement over a prescribed FT interval. A key practical feature considered here is that packet losses in the controller–actuator channel can cause the observer to receive a control signal that is not identical to the one applied to the plant. The proposed approach is formulated within a linear matrix inequalities framework, providing sufficient conditions for stability and performance. Simulation results on a PMSM example are provided to validate the method and illustrate its implementation potential.</p>

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Observer-based finite-time event-triggered non-fragile control for TS fuzzy permanent magnet synchronous motor systems with random packet losses

  • Dhanya Velmurugan,
  • Arunkumar Arumugam,
  • Yann-Horng Lin,
  • Wen-Jer Chang,
  • Cheng-Kai Lin

摘要

This study investigates an observer-based non-fragile event-triggered (ET) mechanism for Takagi–Sugeno (TS) fuzzy permanent magnet synchronous motor (PMSM) systems in the presence of random communication packet dropout. The primary objective is to develop a TS fuzzy observer-based ET non-fragile scheme that ensures the finite-time (FT) boundedness of the system while achieving a mixed \(H_\infty \) H and passivity performance requirement over a prescribed FT interval. A key practical feature considered here is that packet losses in the controller–actuator channel can cause the observer to receive a control signal that is not identical to the one applied to the plant. The proposed approach is formulated within a linear matrix inequalities framework, providing sufficient conditions for stability and performance. Simulation results on a PMSM example are provided to validate the method and illustrate its implementation potential.