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Disturbance Frequency Estimation for an LTV System

Abstract : We consider the frequency estimation problem for a sinusoidal disturbance acting on a linear time-varying system, where only the input and output signals are available. We propose a novel parametrization that translates this problem into a linear regression model with unknown parameters. The frequency estimation is performed using the Dynamic Regressor Extension and Mixing procedure and an algebraic finite-time estimator. The resulting scheme provides finite-time frequency estimation under the interval excitation condition. The role of the tuning coefficients in satisfying the convergence condition is also discussed. Simulations illustrate the applicability of the proposed solution.
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Contributor : Stanislav Aranovskiy Connect in order to contact the contributor
Submitted on : Thursday, January 27, 2022 - 10:05:52 AM
Last modification on : Thursday, August 25, 2022 - 3:17:20 PM

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  • HAL Id : hal-03545162, version 1

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Stanislav Aranovskiy, Marina Korotina, Alexey Bobtsov. Disturbance Frequency Estimation for an LTV System. 14th IFAC Workshop on Adaptive and Learning Control Systems, Jun 2022, Casablanca, Morocco. ⟨hal-03545162⟩

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