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On generation of virtual outputs via signal injection: Application to observer design for electromechanical systems

Abstract : Probing signal injection is a well-established technique to extract additional information from a weakly (or non) observable dynamical system. Using averaging theory, a framework to analyse such schemes for general nonlinear systems has been recently proposed in Combes et. al., [9], where it is shown that the signal injection may be used to generate a new high frequency component of the systems output that can be used for state observation or controller design. A key step for the success of this technique is the implementation of a filter to reconstruct this virtual output from the measurement of the overall systems output. The main contribution of this paper is to propose a new filter with guaranteed convergence properties that outperforms the classical designs. The method is applied to a general class of electromechanical systems, and its performance is assessed via simulations and experiments on the benchmark example of a 1-dof magnetic levitation system.
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Submitted on : Tuesday, June 16, 2020 - 1:49:59 PM
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Bowen Yi, Romeo Ortega, Houria Siguerdidjane, Juan E. Machado, Weidong Zhang. On generation of virtual outputs via signal injection: Application to observer design for electromechanical systems. European Journal of Control, Elsevier, 2020, 54, pp.129-139. ⟨10.1016/j.ejcon.2019.11.005⟩. ⟨hal-02497600⟩

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