Recursive identification of transfer function matrix in continuous systems via linear integral filter

Sagara, Setsuo; Zhao, Zhenyu

doi:10.1080/00207178908953377

Cited by 39 publications

(14 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Therefore, selecting the design parameters {γ 10 , γ 11 } such that the associated characteristic polynomial for (8) be Hurwitz, one guarantees that the error dynamics be globally asymptotically stable.…”

Section: A Certainty Equivalence Angular Velocity Controllermentioning

confidence: 99%

“…These active balancing control schemes require information of the eccentricity of rotating machinery. On the other hand, there exists a vast literature on identification and estimation methods, which are essentially asymptotic, recursive or complex, which generally suffer of poor speed performance (see, e.g., Ljung [5], Soderstrom [6], and Sagara and Zhao [7,8]). This paper leads with the active cancellation problem of mechanical vibrations in rotor-bearing systems.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Active disk for automatic balancing of rotor-bearing sytems

Bianco-Ortega

Beltrán-Carbajal

Favela‐Contreras

et al. 2008

2008 American Control Conference

View full text Add to dashboard Cite

This paper leads with the active cancellation problem of mechanical vibrations in rotor-bearing systems. The use of an active disk is proposed for actively balancing a rotor by means of locating a balancing mass at a suitable position. Two nonlinear controllers with integral compensation are proposed to put the balancing mass at a specific position. Algebraic identification is used for on-line eccentricity estimation, because of the implementation of this active disk is based on knowledge of the eccentricity. An important property of this algebraic identification is that the eccentricity identification is not asymptotic but algebraic, in contrast to most of the traditional identification methods, which generally suffer of poor speed performance. In addition, a velocity control is designed to take the rotor velocity to a desired operating point over the first critical speed. The controllers are developed in the context of an offline prespecified reference trajectory tracking problem. Some numerical simulations are included to illustrate the dynamic performance of the closed loop system and the active vibration cancellation.

show abstract

Section: A Certainty Equivalence Angular Velocity Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Active disk for automatic balancing of rotor-bearing sytems

Bianco-Ortega

Beltrán-Carbajal

Favela‐Contreras

et al. 2008

2008 American Control Conference

View full text Add to dashboard Cite

show abstract

“…We can reconstruct the output (ẑ(t)) of the linear dynamic subsystem using the inverse of the nonlinear static function (f −1 (•), identiÿed by the previous relay test). Then, we can estimate a complex linear model from the reconstructed output (ẑ(t)) and the given process input (u(t)) using well-established linear system identiÿcation approaches such as methods using transform (Cheng and Hsu, 1982;Chou et al, 1999;Sagara and Zhao, 1989;Eitelberg, 1988;Johansson et al, 1999;Sung et al, 1998) subspace method , prediction error method and numerous techniques to determine the model structure for linear systems such as by considering physical insight, examining the spectral analysis estimate, testing ranks in covariance matrices, examining the information matrix, minimizing Akaike's information theoretic criterion (AIC) and checking whiteness of residuals (Ljung, 1987).…”

Section: Identiÿcation Of Linear Dynamic Subsystemmentioning

confidence: 99%

Modeling and control of Wiener-type processes

Sung

Lee

2004

Chemical Engineering Science

View full text Add to dashboard Cite

“…Some results concerning the identification of continuous-time (non-delayed) MIMO systems are reported by Chao et al (1987) as well as Sagara and Zhao (1989).…”

Section: Identification Of Continuous-time Delay Mimo Sys-mentioning

confidence: 99%

On-line parameter and delay estimation of continuous-time dynamic systems

Kozłowski

Kowalczuk

2015

International Journal of Applied Mathematics and Computer Science

View full text Add to dashboard Cite

The problem of on-line identification of non-stationary delay systems is considered. The dynamics of supervised industrial processes are usually modeled by ordinary differential equations. Discrete-time mechanizations of continuous-time process models are implemented with the use of dedicated finite-horizon integrating filters. Least-squares and instrumental variable procedures mechanized in recursive forms are applied for simultaneous identification of input delay and spectral parameters of the system models. The performance of the proposed estimation algorithms is verified in an illustrative numerical simulation study.

show abstract

Recursive identification of transfer function matrix in continuous systems via linear integral filter

Cited by 39 publications

References 11 publications

Active disk for automatic balancing of rotor-bearing sytems

Active disk for automatic balancing of rotor-bearing sytems

Modeling and control of Wiener-type processes

On-line parameter and delay estimation of continuous-time dynamic systems

Contact Info

Product

Resources

About