Multispezies-Ethnographie

Ameli, Katharina

doi:10.1515/9783839455326

Cited by 22 publications

(1 citation statement)

References 27 publications

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“…In this section, the proposed control is validated on a 5MW variable pitch wind turbine model using Fatigue, Aerodynamics, Structures, and Turbulence (FAST) simulator developed by the US national renewable energy laboratory (NREL) Jonkman et al (2009), and the implementation of the proposed controller is publicly available Ameli (2021). A lumped-parameter model of the rotor dynamics obtained in Wasynczuk et al (1981) gives the high-level dynamics as…”

Section: Numerical Simulationmentioning

confidence: 99%

Robust Control for a Class of Nonlinearly Coupled Hierarchical Systems with Actuator Faults

Ameli¹,

Anubi²

2021

Preprint

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This paper proposes an approach to addresses the control challenges posed by a faultinduced uncertainty in both the dynamics and control input effectiveness of a class of hierarchical nonlinear systems in which the high-level dynamics is nonlinearly coupled with a multi-agent low-level dynamics. The high-level dynamics has a multiplicative uncertainty in the control input effectiveness and is subjected to an exogenous disturbance input. On the other hand, the low-level system is subjected to actuator faults causing a time-varying multiplicative uncertainty in the dynamical model and associated control effectiveness. Moreover, the nonlinear coupling between the high-level and the low-level dynamics makes the problem even more challenging. To address this problem, an online parameter estimation algorithm is designed, coupled with an adaptive splitting mechanism which automatically distributes the control action among low level multi-agent systems. A nonlinear L 2 -gain-based controller, and then a state-feedback controller are designed in the high-level, and the low-level, respectively, to recover the system from faults with high performance in the transient response, and reject the exogenous disturbance. The resulting analysis guarantees a robust tracking of the high-level reference command signal.

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Section: Numerical Simulationmentioning

confidence: 99%