TY - JOUR
T1 - Zero assignment for robust H2/H∞ fault detection filter design
AU - Dai, Xuewu
AU - Gao, Zhiwei
AU - Breikin, Tim
AU - Wang, Hong
PY - 2009/4
Y1 - 2009/4
N2 - In practical engineering, it is inevitable that a system is perturbed by noise signals. Unfortunately, H∞/H∞ filtering may fail to detect some faults when the noise distribution matrix are the same as the fault distribution matrix. In this paper, it is shown that the dynamic feedback gain of a dynamic filter introduces additional zeros to the filter, and both the filter poles and the additional zeros can be assigned arbitrarily. In order to attenuate band-limited noises, the zero assignment technique is used, and an optimal dynamic fault detection filtering approach is proposed by locating the zeros to the noise frequencies and optimizing the poles. Compared to other dynamic filter design approaches, the zero assignment technique gives a better tradeoff between more design freedom and computation costs. As shown in the simulation, a better noise attenuation and fault detection performance have been obtained. The zero assignment in multivariable fault detection filter design would be the main contribution of this paper.
AB - In practical engineering, it is inevitable that a system is perturbed by noise signals. Unfortunately, H∞/H∞ filtering may fail to detect some faults when the noise distribution matrix are the same as the fault distribution matrix. In this paper, it is shown that the dynamic feedback gain of a dynamic filter introduces additional zeros to the filter, and both the filter poles and the additional zeros can be assigned arbitrarily. In order to attenuate band-limited noises, the zero assignment technique is used, and an optimal dynamic fault detection filtering approach is proposed by locating the zeros to the noise frequencies and optimizing the poles. Compared to other dynamic filter design approaches, the zero assignment technique gives a better tradeoff between more design freedom and computation costs. As shown in the simulation, a better noise attenuation and fault detection performance have been obtained. The zero assignment in multivariable fault detection filter design would be the main contribution of this paper.
KW - fault distribution matrix
KW - filter poles
KW - noise distribution matrix
KW - noise signals
KW - zero assignment
U2 - 10.1109/TSP.2008.2010598
DO - 10.1109/TSP.2008.2010598
M3 - Article
VL - 57
SP - 1363
EP - 1372
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
SN - 1053-587X
IS - 4
ER -