2014
DOI: 10.1002/asjc.870
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On‐line Parameter Estimation via Algebraic Method: An Experimental Illustration

Abstract: This article presents an algebraic online parameters estimation method for linear time invariant (LTI) systems, subject to polynomial perturbations. Particular attention is given to practical implementation. The estimator may be expressed as a simple finite impluse response (FIR) filter, which is advantageous for online application, since the coefficients may be computed offline. The robustification against possible singularities is shown, the approach has the advantage to eliminate singularities that may occu… Show more

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Cited by 13 publications
(10 citation statements)
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“…is symmetric and positive definite it is invertible, and linear system of equations (39) can be solved for t ≥ ε > 0 using efficient numerical method like LU or Cholesky decomposition [18]. Fig.…”
Section: Algebraic Parameter Identificationmentioning
confidence: 99%
See 1 more Smart Citation
“…is symmetric and positive definite it is invertible, and linear system of equations (39) can be solved for t ≥ ε > 0 using efficient numerical method like LU or Cholesky decomposition [18]. Fig.…”
Section: Algebraic Parameter Identificationmentioning
confidence: 99%
“…Next, several further reported applications are mentioned. In [18], the algebraic estimation algorithm is applied for the identification of the parameters of a permanent magnet stepper motor and a magnetic bearing. In [19], an online algebraic identification methodology for parameter and signal estimation in vibrating mechanical system is experimentally verified.…”
Section: Introductionmentioning
confidence: 99%
“…En segundo nivel, han sido incorporados en diferentes esquemas de control permitiendo la estimación algebraica de estados y derivadas para aplicaciones de control de movimiento (Menhour et al, 2014), la tolerancia a fallos en sistemas de levitación magnética (Kiltz et al, 2014) y procesos industriales (Martínez-Guerra et al, 2017) y el control de sistemas mecatrónicos basado en el rechazo activo de perturbaciones estimadas algebraicamente (Cortés-Romero et al, 2017). En tercer nivel, los métodos algebraicos han sido utilizados en la estimación de parámetros de sistemas dinámicos lineales y no lineales, demostrando ser útiles en la caracterización de servo-mecanismos (Garrido y Concha, 2013; Miranda-Colorado y Moreno-Valenzuela, 2017), el control de robots (Becedas et al, 2009;Pereira et al, 2013), el control de sistemas mecánicos (García-Rodríguez et al, 2009; Beltrán-Carbajal y Silva-Navarro, 2013), el control de convertidores electrónicos de potencia (Linares et al, 2014;Bougrine et al, 2017) y el control de máquinas eléctricas (Delpoux y Floquet, 2015).…”
Section: Introductionunclassified
“…The overall stability and observability cannot be guaranteed by linear controller and observer. Due to the nonlinearity of magnetic force, the observability and/or parameter estimation of magnetic bearing system is in general difficult (Delpoux and Floquet, 2015, Mizuno et al, 2016). The 3-pole configuration makes the problem even more difficult.…”
Section: Introductionmentioning
confidence: 99%