Control relevant estimation of plant and disturbance dynamics

• Published in: Automatica (Oxford) Vol. 42; no. 11; pp. 1951 - 1957
• Main Authors: Zeng, J., de Callafon, R.A.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01-11-2006; Elsevier
• Subjects: Applied sciences; Closed-loop; Computer science; control theory; systems; Control system synthesis; Control theory. Systems; Disturbance rejection; Exact sciences and technology; Identification; Modelling and identification; Parameter estimation; Disturbance rejection; Parameter estimation; Identification; Closed-loop; Filter; dynamic control; Process control; Control synthesis; System identification; Modeling
• ISSN: 0005-1098; 1873-2836
• DOI: 10.1016/j.automatica.2006.06.012

Estimating models for both plant and disturbance dynamics is important in control design applications that focus on disturbance rejection. Several methods for low-order approximate model estimation on the basis of closed-loop data exist in the literature, but fail to address the simultaneous estimation of low-order approximate models of both plant and disturbance dynamics. In this paper a new extended two-stage methodology is proposed that allows for low-order approximate disturbance model estimation. In the proposed extended two-stage method the first stage is used to estimate high-order models for filtering purposes. In the second stage, filtered signals are used to provide the means for low-order approximate model estimation of both plant and disturbance dynamics.