✦ LIBER ✦

Detection, estimation, and accommodation of loss of control effectiveness

✍ Scribed by N. Eva Wu; Youmin Zhang; Kemin Zhou

Publisher: John Wiley and Sons
Year: 2000
Tongue: English
Weight: 204 KB
Volume: 14
Category: Article
ISSN: 0890-6327
DOI: 10.1002/1099-1115(200011)14:7<775::aid-acs621>3.0.co;2-4

No coin nor oath required. For personal study only.

✦ Synopsis

In this paper, an adaptive Kalman "ltering algorithm is developed for use to estimate the reduction of control e!ectiveness in a closed-loop setting. Control e!ectiveness factors are used to quantify faults entering control systems through actuators. A set of covariance-dependent forgetting factors is introduced into the "ltering algorithm. As a result, the change in the control e!ectiveness is accentuated to help achieve a more accurate estimate more rapidly. A weighted sum-squared bias estimate is de"ned for the change detection. The state estimate is fed back to achieve the steady-state regulation, while the control e!ectiveness estimate is used for the on-line tuning of the control law. A stability analysis is performed for the adaptive regulator.

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