DocumentCode :
2765689
Title :
Combined fault monitoring detection and control
Author :
Grimble, M.J.
Author_Institution :
Ind. Control Unit, Strathclyde Univ., Glasgow, UK
Volume :
4
fYear :
1998
fDate :
16-18 Dec 1998
Firstpage :
3675
Abstract :
One of the advantages of polynomial methods is the insights the frequency domain approach provides. The relatively new subject of combined fault monitoring and control has mostly been considered in a state-equation form but is it more difficult to determine the frequency domain characteristics. A new solution of the combined fault estimation and control problem is presented in the z-domain and the resulting robustness and reliability benefits are identified. An H2 cost-function is introduced that involves traditionally LQG cost terms and in addition fault estimation error components. The combined controller and fault estimator is economical to implement. The application of this methodology in ship roll stabilization problems is considered and the benefits of the approach are identified. The presentation is illustrated by a design example that considers both actuator and measurement system faults. The effect on the robustness of the control solution and the accuracy of fault prediction are discussed
Keywords :
discrete time systems; fault diagnosis; frequency-domain analysis; linear quadratic Gaussian control; monitoring; multivariable systems; polynomials; ships; stability; LQG control; discrete time systems; fault detection; fault estimation; fault monitoring; frequency domain; multivariable systems; optimal control; polynomials; robustness; ship roll; stabilization; Costs; Economic forecasting; Estimation error; Fault detection; Fault diagnosis; Frequency domain analysis; Marine vehicles; Monitoring; Polynomials; Robust control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
ISSN :
0191-2216
Print_ISBN :
0-7803-4394-8
Type :
conf
DOI :
10.1109/CDC.1998.761765
Filename :
761765
Link To Document :
بازگشت