Closed-loop system identification by residual whitening

Kuo, Chien-Hsun; Chinvorarat, Sinchai; Huang, Jen-Kuang

doi:10.2514/6.1998-4444

Cited by 1 publication

(1 citation statement)

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“…The data reduction method for the indoor free-flight test employed the ERA (Eigensystem Realization Algorithm) involving the AR (Autoregressive) model fitting methodology. It is well known that system identification methods related to a feedback system can be classified into two categories: indirect methods, 3) and direct methods. 4,5) Direct methods have the advantage that a smaller number of inversion operations is needed in constructing the system Markov parameters used in the eigen-system realization algorithm.…”

Section: Introductionmentioning

confidence: 99%

Identification of Blimp Dynamics via Flight Tests

Yamasaki

Goto

2003

Trans. Japan Soc. Aero. S Sci.

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A blimp is introduced as a stable platform for remote-sensing instruments required for unmanned aerial observation and surveillance. In order to develop flight control systems for a blimp, two series of experiments were conducted to identify flight dynamics: constrained flight tests, and indoor free-flight tests. This paper addresses the blimp configuration, experimental set-up, method for identifying dynamics, and the results of identification in comparison with the analytical estimation for each experimental method. Both tests employed a full-scale blimp. The identification method for the constrained flight tests used the extended least-squares method involving the gradient algorithm, and the indoor freeflight tests, the eigen-system realization algorithm involving the autoregressive model fitting algorithm. The results suggest that analytical formulas for estimating the parameters, including added mass effects and stability derivatives, may yield values consistent with experimentally identified ones.

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Section: Introductionmentioning

confidence: 99%