Title :
Fault detection observer design with unknown inputs
Author :
Tao, Feng ; Zhao, Qing
Author_Institution :
Dept. of Electr. & Comput. Eng.,, Alberta Univ., Edmonton, Alta.
Abstract :
This paper deals with fault detection observer design for linear time-invariant systems with unknown inputs. The design objective is set to minimize a combined performance index Hinfin/H- which means to achieve a good compromise between robustness to the disturbance and sensitivity to the fault. Hence, the fault detection observer is designed to detect the fault of smallest energy possible. In this paper, the design for both static observer and more general dynamic observer is addressed. For the latter, change of variable method is used to make matrix inequality linear. In addition, a sequential linearization iterative LMI method is used to solve the nonconvex optimization, which guarantees the convergence
Keywords :
Hinfin control; concave programming; control system synthesis; fault location; linear matrix inequalities; linear systems; linearisation techniques; observers; performance index; robust control; H-; Hinfin; dynamic observer; fault detection observer design; linear matrix inequality; linear time-invariant system; nonconvex optimization; performance index; robustness; sequential linearization iterative LMI; static observer; Algorithm design and analysis; Convergence; Design optimization; Fault detection; Iterative algorithms; Iterative methods; Lyapunov method; Performance analysis; Robustness; Signal design;
Conference_Titel :
Control Applications, 2005. CCA 2005. Proceedings of 2005 IEEE Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-9354-6
DOI :
10.1109/CCA.2005.1507307